Building on x86-bm-c9.sw.ocaml.org
(from ocaml/opam:debian-unstable)
2025-03-22 20:46.06 ---> using "0acd5aeaa8f7bc314514d9795d14a7f12ec72a6a5b11c5904350189734c6859b" from cache
/: (user (uid 1000) (gid 1000))
/: (env OPAMPRECISETRACKING 1)
/: (env OPAMUTF8 never)
/: (env OPAMEXTERNALSOLVER builtin-0install)
/: (env OPAMCRITERIA +removed)
/: (env CI true)
/: (env OPAM_HEALTH_CHECK_CI true)
/: (run (shell "sudo ln -f /usr/bin/opam-dev /usr/bin/opam"))
2025-03-22 20:46.06 ---> using "40df4fa4cdfc68a5fa7a326047e82a7adc5df52b8059d4a7b745bdd50aad56e7" from cache
/: (run (network host)
(shell "rm -rf ~/opam-repository && git clone -q 'https://github.com/ocaml/opam-repository' ~/opam-repository && git -C ~/opam-repository checkout -q acfb0e6e94791a9b9e37b7555da3519d7d358fee"))
2025-03-22 20:46.06 ---> using "502d32bf9d697342ef130fdfe20f142593588a73044bc955b7f00ff24c68b37f" from cache
/: (run (shell "rm -rf ~/.opam && opam init -ya --bare --config ~/.opamrc-sandbox ~/opam-repository"))
Configuring from /home/opam/.opamrc-sandbox, then /home/opam/.opamrc, and finally 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.
<><> Fetching repository information ><><><><><><><><><><><><><><><><><><><><><>
[default] Initialised
User configuration:
~/.profile is already up-to-date.
[NOTE] Make sure that ~/.profile is well sourced in your ~/.bashrc.
2025-03-22 20:46.06 ---> using "75894aee8cc72a5a0ba1228629c7df6bf62c0d47009dbbad8a2d2e0d704e3ed5" from cache
/: (run (cache (opam-archives (target /home/opam/.opam/download-cache)) (opam-dune-cache (target /home/opam/.cache/dune)))
(network host)
(shell "opam switch create --repositories=default '5.3' '5.3.0'"))
<><> Installing new switch packages <><><><><><><><><><><><><><><><><><><><><><>
Switch invariant: ["ocaml-base-compiler" {= "5.3.0"} | "ocaml-system" {= "5.3.0"}]
<><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><>
-> retrieved ocaml-config.3 (cached)
-> installed base-bigarray.base
-> installed base-threads.base
-> installed base-unix.base
-> installed ocaml-options-vanilla.1
-> retrieved ocaml-compiler.5.3.0 (cached)
-> installed ocaml-compiler.5.3.0
-> installed ocaml-base-compiler.5.3.0
-> installed ocaml-config.3
-> installed ocaml.5.3.0
-> installed base-domains.base
-> installed base-effects.base
-> installed base-nnp.base
Done.
# To update the current shell environment, run: eval $(opam env --switch=5.3)
2025-03-22 20:46.06 ---> using "38f5e954f37e9c26977532e1166498abf4cd807926153cf9060a4da54fd3e6d1" from cache
/: (run (network host)
(shell "opam update --depexts"))
+ /usr/bin/sudo "apt-get" "update"
- Get:1 http://deb.debian.org/debian unstable InRelease [205 kB]
- Get:2 http://deb.debian.org/debian unstable/main amd64 Packages.diff/Index [63.6 kB]
- Err:2 http://deb.debian.org/debian unstable/main amd64 Packages.diff/Index
- Couldn't find the start of the patch series
- Get:2 http://deb.debian.org/debian unstable/main amd64 Packages.diff/Index [63.6 kB]
- Ign:2 http://deb.debian.org/debian unstable/main amd64 Packages.diff/Index
- Get:3 http://deb.debian.org/debian unstable/main amd64 Packages [10.1 MB]
- Fetched 10.4 MB in 1s (8440 kB/s)
- Reading package lists...
-
2025-03-22 20:46.06 ---> using "3a0d672ac1dccc5d375ea146ff63c948cd3328bb61dd16918cd1881e6747c3b4" from cache
/: (run (cache (opam-archives (target /home/opam/.opam/download-cache)) (opam-dune-cache (target /home/opam/.cache/dune)))
(network host)
(shell "opam pin add -k version dune $(opam show -f version dune)"))
dune is now pinned to version 3.17.2
The following actions will be performed:
=== install 1 package
- install dune 3.17.2 (pinned)
<><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><>
-> retrieved dune.3.17.2 (cached)
-> installed dune.3.17.2
Done.
# To update the current shell environment, run: eval $(opam env)
2025-03-22 20:46.06 ---> using "cb036bbef0a97af57c567f5d2c39100c7366f4648ecf3f15752d00421da60a46" from cache
/: (env DUNE_CACHE enabled)
/: (env DUNE_CACHE_TRANSPORT direct)
/: (env DUNE_CACHE_DUPLICATION copy)
/: (run (cache (opam-archives (target /home/opam/.opam/download-cache)) (opam-dune-cache (target /home/opam/.cache/dune)))
(network host)
(shell "curl -fsSL https://get.dune.build/install | sh"))
#=#=#
##O#-#
0.1%
# 1.4%
#### 6.2%
######### 12.9%
##################################### 52.2%
###################################################################### 98.2%
######################################################################## 100.0%
dune x86_64-unknown-linux-musl was installed successfully to ~/.local/bin/dune
To use dune you will need to source the file "$HOME/.local/share/dune/env/env.bash" (or similar as appropriate for your shell)
export PATH="/home/opam/.local/bin:$PATH"
To get started, run:
dune --help
2025-03-22 20:46.06 ---> using "769fd898f10afb1c677a857275d9a3b8a10e6231bbdb3c086a09593235746ae0" from cache
/: (run (cache (opam-archives (target /home/opam/.opam/download-cache)) (opam-dune-cache (target /home/opam/.cache/dune)))
(network host)
(shell "mkdir /tmp/sexp && cd /tmp/sexp && opam switch create ./ ocaml-base-compiler.5.2.1 --no-install && opam install -y sexp && cd -"))
<><> Installing new switch packages <><><><><><><><><><><><><><><><><><><><><><>
Switch invariant: ["ocaml-base-compiler" {= "5.2.1"}]
<><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><>
-> retrieved ocaml-config.3 (cached)
-> installed base-bigarray.base
-> installed base-threads.base
-> installed base-unix.base
-> installed ocaml-options-vanilla.1
-> retrieved ocaml-base-compiler.5.2.1 (https://github.com/ocaml/ocaml/releases/download/5.2.1/ocaml-5.2.1.tar.gz)
-> installed ocaml-base-compiler.5.2.1
-> installed ocaml-config.3
-> installed ocaml.5.2.1
-> installed base-domains.base
-> installed base-nnp.base
Done.
# To update the current shell environment, run: eval $(opam env)
The following actions will be performed:
=== install 101 packages
- install angstrom 0.16.1 [required by jsonaf]
- install async v0.17.0 [required by sexp]
- install async_kernel v0.17.0 [required by async]
- install async_log v0.17.0 [required by async]
- install async_rpc_kernel v0.17.0 [required by async]
- install async_unix v0.17.0 [required by async]
- install base v0.17.1 [required by jsonaf, sexp_select]
- install base_bigstring v0.17.0 [required by core]
- install base_quickcheck v0.17.0 [required by core]
- install bigstringaf 0.10.0 [required by angstrom, faraday]
- install bin_prot v0.17.0 [required by core]
- install capitalization v0.17.0 [required by ppx_string_conv]
- install conf-g++ 1.0 [required by re2]
- install core v0.17.1 [required by sexp]
- install core_kernel v0.17.0 [required by sexp]
- install core_unix v0.17.0 [required by sexp]
- install csexp 1.5.2 [required by dune-configurator]
- install cstruct 6.2.0 [required by async_unix]
- install csvfields v0.17.0 [required by sexp]
- install dune 3.17.2 [required by sexp]
- install dune-configurator 3.17.2 [required by bigstringaf]
- install expect_test_helpers_core v0.17.0 [required by core_unix]
- install faraday 0.8.2 [required by jsonaf]
- install fieldslib v0.17.0 [required by core]
- install fmt 0.10.0 [required by cstruct]
- install gel v0.17.0 [required by async_rpc_kernel]
- install int_repr v0.17.0 [required by core_kernel]
- install jane-street-headers v0.17.0 [required by core]
- install jane_rope v0.17.0 [required by re2]
- install jsonaf v0.17.0 [required by sexp]
- install jst-config v0.17.0 [required by shell]
- install num 1.5-1 [required by csvfields]
- install ocaml-compiler-libs v0.17.0 [required by ppxlib]
- install ocaml-syntax-shims 1.0.0 [required by angstrom]
- install ocaml_intrinsics_kernel v0.17.1 [required by base]
- install ocamlbuild 0.16.1 [required by uutf]
- install ocamlfind 1.9.8 [required by uutf]
- install parsexp v0.17.0 [required by sexplib]
- install ppx_assert v0.17.0 [required by core]
- install ppx_base v0.17.0 [required by core]
- install ppx_bench v0.17.0 [required by ppx_jane]
- install ppx_bin_prot v0.17.0 [required by ppx_jane]
- install ppx_cold v0.17.0 [required by ppx_base]
- install ppx_compare v0.17.0 [required by ppx_diff]
- install ppx_custom_printf v0.17.0 [required by ppx_jane]
- install ppx_derivers 1.2.1 [required by ppxlib]
- install ppx_diff v0.17.0 [required by core]
- install ppx_disable_unused_warnings v0.17.0 [required by ppx_jane]
- install ppx_enumerate v0.17.0 [required by ppx_diff]
- install ppx_expect v0.17.2 [required by ppx_jane]
- install ppx_fields_conv v0.17.0 [required by ppx_jane]
- install ppx_fixed_literal v0.17.0 [required by ppx_jane]
- install ppx_globalize v0.17.0 [required by ppx_base]
- install ppx_hash v0.17.0 [required by core]
- install ppx_here v0.17.0 [required by ppx_jane]
- install ppx_ignore_instrumentation v0.17.0 [required by ppx_jane]
- install ppx_inline_test v0.17.0 [required by core]
- install ppx_jane v0.17.0 [required by sexp]
- install ppx_let v0.17.0 [required by ppx_jane]
- install ppx_log v0.17.0 [required by ppx_jane]
- install ppx_module_timer v0.17.0 [required by ppx_jane]
- install ppx_optcomp v0.17.0 [required by core_kernel, core, async_unix]
- install ppx_optional v0.17.0 [required by ppx_jane]
- install ppx_pipebang v0.17.0 [required by ppx_jane]
- install ppx_sexp_conv v0.17.0 [required by core]
- install ppx_sexp_message v0.17.0 [required by core]
- install ppx_sexp_value v0.17.0 [required by ppx_jane]
- install ppx_stable v0.17.0 [required by ppx_jane]
- install ppx_stable_witness v0.17.0 [required by ppx_jane]
- install ppx_string v0.17.0 [required by ppx_jane]
- install ppx_string_conv v0.17.0 [required by ppx_jane]
- install ppx_tydi v0.17.0 [required by ppx_jane]
- install ppx_typerep_conv v0.17.0 [required by ppx_jane]
- install ppx_variants_conv v0.17.0 [required by ppx_jane]
- install ppxlib 0.35.0 [required by ppx_diff]
- install ppxlib_jane v0.17.0 [required by ppx_diff]
- install protocol_version_header v0.17.0 [required by async_rpc_kernel]
- install re 1.12.0 [required by expect_test_helpers_core]
- install re2 v0.17.0 [required by sexp]
- install regex_parser_intf v0.17.0 [required by re2]
- install seq base [required by re]
- install sexp v0.17.0
- install sexp_diff v0.17.0 [required by sexp]
- install sexp_macro v0.17.0 [required by sexp]
- install sexp_pretty v0.17.0 [required by sexp]
- install sexp_select v0.17.0 [required by sexp]
- install sexplib v0.17.0 [required by sexp]
- install sexplib0 v0.17.0 [required by base]
- install shell v0.17.0 [required by sexp]
- install spawn v0.17.0 [required by shell]
- install splittable_random v0.17.0 [required by core]
- install stdio v0.17.0 [required by core]
- install stdlib-shims 0.3.0 [required by ppxlib]
- install textutils v0.17.0 [required by async, shell]
- install time_now v0.17.0 [required by core]
- install timezone v0.17.0 [required by async_log]
- install topkg 1.0.8 [required by uutf]
- install typerep v0.17.1 [required by core]
- install uopt v0.17.0 [required by core_kernel]
- install uutf 1.0.4 [required by textutils]
- install variantslib v0.17.0 [required by core]
<><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><>
-> retrieved async.v0.17.0 (https://github.com/janestreet/async/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved angstrom.0.16.1 (https://github.com/inhabitedtype/angstrom/archive/0.16.1.tar.gz)
-> retrieved async_kernel.v0.17.0 (https://github.com/janestreet/async_kernel/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved async_log.v0.17.0 (https://github.com/janestreet/async_log/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved async_rpc_kernel.v0.17.0 (https://github.com/janestreet/async_rpc_kernel/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved async_unix.v0.17.0 (https://github.com/janestreet/async_unix/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved base.v0.17.1 (https://github.com/janestreet/base/archive/refs/tags/v0.17.1.tar.gz)
-> retrieved base_bigstring.v0.17.0 (https://github.com/janestreet/base_bigstring/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved base_quickcheck.v0.17.0 (https://github.com/janestreet/base_quickcheck/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved bigstringaf.0.10.0 (https://github.com/inhabitedtype/bigstringaf/archive/0.10.0.tar.gz)
-> installed conf-g++.1.0
-> retrieved capitalization.v0.17.0 (https://github.com/janestreet/capitalization/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved bin_prot.v0.17.0 (https://github.com/janestreet/bin_prot/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved core.v0.17.1 (https://github.com/janestreet/core/archive/refs/tags/v0.17.1.tar.gz)
-> retrieved core_kernel.v0.17.0 (https://github.com/janestreet/core_kernel/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved core_unix.v0.17.0 (https://github.com/janestreet/core_unix/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved csexp.1.5.2 (https://github.com/ocaml-dune/csexp/releases/download/1.5.2/csexp-1.5.2.tbz)
-> retrieved csvfields.v0.17.0 (https://github.com/janestreet/csvfields/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved cstruct.6.2.0 (https://github.com/mirage/ocaml-cstruct/releases/download/v6.2.0/cstruct-6.2.0.tbz)
-> retrieved expect_test_helpers_core.v0.17.0 (https://github.com/janestreet/expect_test_helpers_core/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved faraday.0.8.2 (https://github.com/inhabitedtype/faraday/archive/0.8.2.tar.gz)
-> retrieved dune.3.17.2, dune-configurator.3.17.2 (cached)
-> retrieved fieldslib.v0.17.0 (https://github.com/janestreet/fieldslib/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved gel.v0.17.0 (https://github.com/janestreet/gel/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved fmt.0.10.0 (https://erratique.ch/software/fmt/releases/fmt-0.10.0.tbz)
-> retrieved jane-street-headers.v0.17.0 (https://github.com/janestreet/jane-street-headers/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved int_repr.v0.17.0 (https://github.com/janestreet/int_repr/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved jane_rope.v0.17.0 (https://github.com/janestreet/jane_rope/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved jsonaf.v0.17.0 (https://github.com/janestreet/jsonaf/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved jst-config.v0.17.0 (https://github.com/janestreet/jst-config/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved num.1.5-1 (https://github.com/ocaml/num/archive/v1.5.tar.gz)
-> retrieved ocaml-compiler-libs.v0.17.0 (https://github.com/janestreet/ocaml-compiler-libs/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ocaml-syntax-shims.1.0.0 (https://github.com/ocaml-ppx/ocaml-syntax-shims/releases/download/1.0.0/ocaml-syntax-shims-1.0.0.tbz)
-> retrieved ocaml_intrinsics_kernel.v0.17.1 (https://github.com/janestreet/ocaml_intrinsics_kernel/archive/refs/tags/v0.17.1.tar.gz)
-> retrieved ocamlbuild.0.16.1 (https://github.com/ocaml/ocamlbuild/archive/refs/tags/0.16.1.tar.gz)
-> retrieved ocamlfind.1.9.8 (https://github.com/ocaml/ocamlfind/archive/refs/tags/findlib-1.9.8.tar.gz)
-> retrieved parsexp.v0.17.0 (https://github.com/janestreet/parsexp/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_assert.v0.17.0 (https://github.com/janestreet/ppx_assert/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_base.v0.17.0 (https://github.com/janestreet/ppx_base/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_bench.v0.17.0 (https://github.com/janestreet/ppx_bench/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_bin_prot.v0.17.0 (https://github.com/janestreet/ppx_bin_prot/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_cold.v0.17.0 (https://github.com/janestreet/ppx_cold/archive/refs/tags/v0.17.0.tar.gz)
-> installed num.1.5-1
-> retrieved ppx_compare.v0.17.0 (https://github.com/janestreet/ppx_compare/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_custom_printf.v0.17.0 (https://github.com/janestreet/ppx_custom_printf/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_derivers.1.2.1 (https://github.com/ocaml-ppx/ppx_derivers/archive/1.2.1.tar.gz)
-> retrieved ppx_diff.v0.17.0 (https://github.com/janestreet/ppx_diff/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_disable_unused_warnings.v0.17.0 (https://github.com/janestreet/ppx_disable_unused_warnings/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_enumerate.v0.17.0 (https://github.com/janestreet/ppx_enumerate/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_expect.v0.17.2 (https://github.com/janestreet/ppx_expect/archive/refs/tags/v0.17.2.tar.gz)
-> retrieved ppx_fields_conv.v0.17.0 (https://github.com/janestreet/ppx_fields_conv/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_fixed_literal.v0.17.0 (https://github.com/janestreet/ppx_fixed_literal/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_globalize.v0.17.0 (https://github.com/janestreet/ppx_globalize/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_hash.v0.17.0 (https://github.com/janestreet/ppx_hash/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_here.v0.17.0 (https://github.com/janestreet/ppx_here/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_ignore_instrumentation.v0.17.0 (https://github.com/janestreet/ppx_ignore_instrumentation/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_inline_test.v0.17.0 (https://github.com/janestreet/ppx_inline_test/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_jane.v0.17.0 (https://github.com/janestreet/ppx_jane/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_let.v0.17.0 (https://github.com/janestreet/ppx_let/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_log.v0.17.0 (https://github.com/janestreet/ppx_log/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_module_timer.v0.17.0 (https://github.com/janestreet/ppx_module_timer/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_optional.v0.17.0 (https://github.com/janestreet/ppx_optional/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_optcomp.v0.17.0 (https://github.com/janestreet/ppx_optcomp/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_pipebang.v0.17.0 (https://github.com/janestreet/ppx_pipebang/archive/refs/tags/v0.17.0.tar.gz)
-> installed ocamlfind.1.9.8
-> retrieved ppx_sexp_conv.v0.17.0 (https://github.com/janestreet/ppx_sexp_conv/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_sexp_message.v0.17.0 (https://github.com/janestreet/ppx_sexp_message/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_sexp_value.v0.17.0 (https://github.com/janestreet/ppx_sexp_value/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_stable_witness.v0.17.0 (https://github.com/janestreet/ppx_stable_witness/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_stable.v0.17.0 (https://github.com/janestreet/ppx_stable/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_string.v0.17.0 (https://github.com/janestreet/ppx_string/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_string_conv.v0.17.0 (https://github.com/janestreet/ppx_string_conv/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_tydi.v0.17.0 (https://github.com/janestreet/ppx_tydi/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_typerep_conv.v0.17.0 (https://github.com/janestreet/ppx_typerep_conv/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_variants_conv.v0.17.0 (https://github.com/janestreet/ppx_variants_conv/archive/refs/tags/v0.17.0.tar.gz)
-> installed ocamlbuild.0.16.1
-> retrieved ppxlib_jane.v0.17.0 (https://github.com/janestreet/ppxlib_jane/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppxlib.0.35.0 (https://github.com/ocaml-ppx/ppxlib/releases/download/0.35.0/ppxlib-0.35.0.tbz)
-> retrieved protocol_version_header.v0.17.0 (https://github.com/janestreet/protocol_version_header/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved re.1.12.0 (https://github.com/ocaml/ocaml-re/releases/download/1.12.0/re-1.12.0.tbz)
-> retrieved regex_parser_intf.v0.17.0 (https://github.com/janestreet/regex_parser_intf/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved re2.v0.17.0 (https://github.com/janestreet/re2/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved seq.base (2 extra sources)
-> retrieved seq.base (2 extra sources)
-> installed seq.base
-> retrieved sexp_diff.v0.17.0 (https://github.com/janestreet/sexp_diff/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved sexp.v0.17.0 (https://github.com/janestreet/sexp/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved sexp_macro.v0.17.0 (https://github.com/janestreet/sexp_macro/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved sexp_pretty.v0.17.0 (https://github.com/janestreet/sexp_pretty/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved sexp_select.v0.17.0 (https://github.com/janestreet/sexp_select/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved sexplib.v0.17.0 (https://github.com/janestreet/sexplib/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved sexplib0.v0.17.0 (https://github.com/janestreet/sexplib0/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved shell.v0.17.0 (https://github.com/janestreet/shell/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved spawn.v0.17.0 (https://github.com/janestreet/spawn/releases/download/v0.17.0/spawn-v0.17.0.tbz)
-> retrieved splittable_random.v0.17.0 (https://github.com/janestreet/splittable_random/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved stdio.v0.17.0 (https://github.com/janestreet/stdio/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved stdlib-shims.0.3.0 (https://github.com/ocaml/stdlib-shims/releases/download/0.3.0/stdlib-shims-0.3.0.tbz)
-> retrieved time_now.v0.17.0 (https://github.com/janestreet/time_now/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved textutils.v0.17.0 (https://github.com/janestreet/textutils/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved topkg.1.0.8 (https://erratique.ch/software/topkg/releases/topkg-1.0.8.tbz)
-> retrieved timezone.v0.17.0 (https://github.com/janestreet/timezone/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved typerep.v0.17.1 (https://github.com/janestreet/typerep/archive/refs/tags/v0.17.1.tar.gz)
-> retrieved uutf.1.0.4 (https://erratique.ch/software/uutf/releases/uutf-1.0.4.tbz)
-> retrieved uopt.v0.17.0 (https://github.com/janestreet/uopt/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved variantslib.v0.17.0 (https://github.com/janestreet/variantslib/archive/refs/tags/v0.17.0.tar.gz)
-> installed topkg.1.0.8
-> installed uutf.1.0.4
-> installed fmt.0.10.0
-> installed dune.3.17.2
-> installed jane-street-headers.v0.17.0
-> installed ppx_derivers.1.2.1
-> installed csexp.1.5.2
-> installed cstruct.6.2.0
-> installed ocaml-syntax-shims.1.0.0
-> installed ocaml-compiler-libs.v0.17.0
-> installed ocaml_intrinsics_kernel.v0.17.1
-> installed re.1.12.0
-> installed sexplib0.v0.17.0
-> installed spawn.v0.17.0
-> installed stdlib-shims.0.3.0
-> installed parsexp.v0.17.0
-> installed dune-configurator.3.17.2
-> installed bigstringaf.0.10.0
-> installed sexplib.v0.17.0
-> installed faraday.0.8.2
-> installed angstrom.0.16.1
-> installed base.v0.17.1
-> installed variantslib.v0.17.0
-> installed fieldslib.v0.17.0
-> installed regex_parser_intf.v0.17.0
-> installed stdio.v0.17.0
-> installed typerep.v0.17.1
-> installed ppxlib.0.35.0
-> installed ppxlib_jane.v0.17.0
-> installed ppx_optcomp.v0.17.0
-> installed ppx_disable_unused_warnings.v0.17.0
-> installed ppx_here.v0.17.0
-> installed ppx_cold.v0.17.0
-> installed ppx_stable_witness.v0.17.0
-> installed ppx_tydi.v0.17.0
-> installed ppx_variants_conv.v0.17.0
-> installed ppx_typerep_conv.v0.17.0
-> installed ppx_fields_conv.v0.17.0
-> installed ppx_ignore_instrumentation.v0.17.0
-> installed ppx_pipebang.v0.17.0
-> installed ppx_stable.v0.17.0
-> installed ppx_fixed_literal.v0.17.0
-> installed ppx_enumerate.v0.17.0
-> installed ppx_globalize.v0.17.0
-> installed ppx_compare.v0.17.0
-> installed ppx_optional.v0.17.0
-> installed ppx_sexp_conv.v0.17.0
-> installed ppx_let.v0.17.0
-> installed ppx_hash.v0.17.0
-> installed ppx_sexp_value.v0.17.0
-> installed ppx_assert.v0.17.0
-> installed ppx_sexp_message.v0.17.0
-> installed ppx_custom_printf.v0.17.0
-> installed ppx_base.v0.17.0
-> installed jst-config.v0.17.0
-> installed capitalization.v0.17.0
-> installed sexp_pretty.v0.17.0
-> installed bin_prot.v0.17.0
-> installed ppx_string.v0.17.0
-> installed time_now.v0.17.0
-> installed ppx_bin_prot.v0.17.0
-> installed ppx_module_timer.v0.17.0
-> installed ppx_string_conv.v0.17.0
-> installed ppx_inline_test.v0.17.0
-> installed ppx_bench.v0.17.0
-> installed ppx_expect.v0.17.2
-> installed splittable_random.v0.17.0
-> installed base_quickcheck.v0.17.0
-> installed ppx_log.v0.17.0
-> installed ppx_jane.v0.17.0
-> installed uopt.v0.17.0
-> installed jane_rope.v0.17.0
-> installed gel.v0.17.0
-> installed int_repr.v0.17.0
-> installed jsonaf.v0.17.0
-> installed base_bigstring.v0.17.0
-> installed ppx_diff.v0.17.0
-> installed core.v0.17.1
-> installed protocol_version_header.v0.17.0
-> installed csvfields.v0.17.0
-> installed timezone.v0.17.0
-> installed sexp_diff.v0.17.0
-> installed expect_test_helpers_core.v0.17.0
-> installed core_kernel.v0.17.0
-> installed sexp_select.v0.17.0
-> installed async_kernel.v0.17.0
-> installed core_unix.v0.17.0
-> installed async_rpc_kernel.v0.17.0
-> installed textutils.v0.17.0
-> installed shell.v0.17.0
-> installed async_unix.v0.17.0
-> installed async_log.v0.17.0
-> installed async.v0.17.0
-> installed sexp_macro.v0.17.0
-> installed re2.v0.17.0
-> installed sexp.v0.17.0
Done.
# To update the current shell environment, run: eval $(opam env)
/
2025-03-22 20:46.06 ---> using "bce9fa48e01dc3000ca9a88cc217d746c226c4fc702d6c77452d5d123598bcb5" from cache
/: (run (cache (opam-archives (target /home/opam/.opam/download-cache)) (opam-dune-cache (target /home/opam/.cache/dune)))
(network host)
(shell "PLACE=$(mktemp -d) && cd $PLACE && echo '(lang dune 3.17)\
\n(package\
\n (name dummy)\
\n (allow_empty true)\
\n (depends (ocaml (= 5.3.0))))' > dune-project && PATH=$HOME/.local/bin:$PATH dune pkg lock && PATH=$HOME/.local/bin:$PATH dune build"))
Solution for dune.lock:
- ocaml.5.3.0
- ocaml-base-compiler.5.3.0
- ocaml-compiler.5.3.0
- ocaml-config.3
Downloading ocaml-compiler.5.3.0
Building ocaml-compiler.5.3.0
Building ocaml-base-compiler.5.3.0
2025-03-22 20:46.06 ---> using "e8fb49cdba61ff0d4976abafa41a1c563ec9fbea6c0d14659957da9bb8110aca" from cache
/: (run (cache (opam-archives (target /home/opam/.opam/download-cache)) (opam-dune-cache (target /home/opam/.cache/dune)))
(network host)
(shell "cd $HOME && opam source eigen.0.3.3 && cd eigen.0.3.3 && if [ -f opam ]; then mv opam eigen.opam; fi && for opam in *.opam; do opam show --raw ${opam%.opam} > $opam; done && opam install ./ --depext-only --with-test --with-doc && opam install --dry-run --with-test ./eigen.opam | sed -nE 's/(.*)- install ([^[:blank:]]*)(.*)/\\2/p' > /tmp/packages-via-opam && for opam in *.opam; do rm $opam; echo ${opam%.opam} >> /tmp/packages-locally-available; done && opam show --raw eigen.0.3.3 > eigen.opam && /tmp/sexp/_opam/bin/sexp change '(try (rewrite (package @X) OPAM-HEALTH-CHECK-DROP))' < dune-project | grep -v OPAM-HEALTH-CHECK-DROP > dune-project-new && mv dune-project-new dune-project && echo '(lang dune 3.17)\
\n(lock_dir\
\n (repositories overlay default))\
\n\
\n(repository\
\n (name default)\
\n (url \"file:///home/opam/opam-repository\"))\
\n\
\n\
\n' > dune-workspace && echo eigen >> /tmp/packages-to-build && while read package ; do if grep --quiet $package /tmp/packages-via-opam ; then echo $package >> /tmp/packages-to-build ; fi ; done < /tmp/packages-locally-available && while read package ; do opam show --raw $package > $package.opam; done < /tmp/packages-to-build && while read package ; do if [ ! -f ${package}.opam ]; then echo \"opam-version: \\\"2.0\\\"\" > ${package}.opam; fi; done < /tmp/packages-locally-available && paste -s -d , /tmp/packages-to-build > /tmp/packages-for-dune && PATH=$HOME/.local/bin:$PATH dune pkg lock && grep -v dependency_hash dune.lock/lock.dune > /tmp/lock.dune && mv /tmp/lock.dune dune.lock/lock.dune && PATH=$HOME/.local/bin:$PATH dune build --profile=release --only-packages $(cat /tmp/packages-for-dune) || (echo \"opam-health-check: Build failed\" && exit 1)"))
Successfully extracted to /home/opam/eigen.0.3.3
Solution for dune.lock:
- base-unix.base
- bigarray-compat.1.1.0
- csexp.1.5.2
- ctypes.0.23.0
- dune-configurator.3.17.2
- integers.0.7.0
- ocaml.5.3.0
- ocaml-base-compiler.5.3.0
- ocaml-compiler.5.3.0
- ocaml-config.3
- stdlib-shims.0.3.0
Downloading ocaml-compiler.5.3.0
Building ocaml-compiler.5.3.0
Building ocaml-base-compiler.5.3.0
Building base-unix.base
Building ocaml-config.3
Building ocaml.5.3.0
Downloading csexp.1.5.2
Building csexp.1.5.2
Downloading bigarray-compat.1.1.0
Building bigarray-compat.1.1.0
Downloading stdlib-shims.0.3.0
Building stdlib-shims.0.3.0
Downloading integers.0.7.0
Building integers.0.7.0
Downloading dune-configurator.3.17.2
Building dune-configurator.3.17.2
Downloading ctypes.0.23.0
Building ctypes.0.23.0
(cd _build/default/eigen_cpp && /usr/bin/gcc -O2 -fno-strict-aliasing -fwrapv -fPIC -pthread -fPIC -ansi -pedantic -O3 -std=c++11 -Ofast -march=native -mfpmath=sse -msse2 -funroll-loops -ffast-math -g -I /home/opam/.cache/dune/toolchains/ocaml-compiler.5.3.0-128080a60f158774bfad0f37dcf62390/target/lib/ocaml -I ../../_private/default/.pkg/bigarray-compat/target/lib/bigarray-compat -I ../../_private/default/.pkg/ctypes/target/lib/ctypes -I ../../_private/default/.pkg/integers/target/lib/integers -I ../../_private/default/.pkg/stdlib-shims/target/lib/stdlib-shims -I lib -I lib/unsupported -o eigen_tensor.o -c lib/eigen_tensor.cpp)
In file included from lib/unsupported/Eigen/CXX11/Tensor:105,
from lib/eigen_tensor.cpp:8:
lib/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h: In instantiation of 'struct Eigen::TensorEvaluator<const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>':
lib/unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h:96:65: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, Eigen::MakePointer>, Eigen::DefaultDevice>'
96 | typedef typename TensorEvaluator<ArgType, Device>::Dimensions Dimensions;
| ^~~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorIO.h:61:42: required from 'std::ostream& Eigen::operator<<(std::ostream&, const TensorBase<Derived, 0>&) [with T = TensorMap<Tensor<float, 4, 1> >; std::ostream = std::basic_ostream<char>]'
61 | typedef typename Evaluator::Dimensions Dimensions;
| ^~~~~~~~~~
lib/eigen_tensor_s.cpp:19:16: required from here
19 | std::cout << x << std::endl;
| ^
lib/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:162:66: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
162 | PacketAccess = (internal::unpacket_traits<PacketReturnType>::size > 1),
| ^~~~
In file included from lib/unsupported/Eigen/CXX11/Tensor:133:
lib/unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h: In instantiation of 'const int Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketSize':
lib/unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h:104:21: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, Eigen::MakePointer>, Eigen::DefaultDevice>'
104 | PacketAccess = (PacketSize > 1),
| ^~~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorIO.h:61:42: required from 'std::ostream& Eigen::operator<<(std::ostream&, const TensorBase<Derived, 0>&) [with T = TensorMap<Tensor<float, 4, 1> >; std::ostream = std::basic_ostream<char>]'
61 | typedef typename Evaluator::Dimensions Dimensions;
| ^~~~~~~~~~
lib/eigen_tensor_s.cpp:19:16: required from here
19 | std::cout << x << std::endl;
| ^
lib/unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h:100:78: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
100 | static const int PacketSize = internal::unpacket_traits<PacketReturnType>::size;
| ^~~~
In file included from lib/unsupported/Eigen/CXX11/Tensor:113:
lib/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'struct Eigen::TensorContractionEvaluatorBase<Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice> >':
lib/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:572:8: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>'
572 | struct TensorEvaluator<const TensorContractionOp<Indices, LeftArgType, RightArgType>, Device> :
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:105:51: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>'
105 | IsAligned = TensorEvaluator<ArgType, Device>::IsAligned,
| ^~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:96:70: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >, Eigen::DefaultDevice>'
96 | typedef typename TensorEvaluator<RightArgType, Device>::Dimensions Dimensions;
| ^~~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h:92:66: required from 'const bool Eigen::internal::IsVectorizable<Eigen::DefaultDevice, const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > > >::value'
92 | static const bool value = TensorEvaluator<Expression, Device>::PacketAccess;
| ^~~~~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
lib/eigen_tensor_s.cpp:35:107: required from here
35 | output = SpatialConvolution(input, kernel, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
| ^
lib/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:124:66: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
124 | PacketAccess = (internal::unpacket_traits<PacketReturnType>::size > 1),
| ^~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h: In instantiation of 'struct Eigen::TensorEvaluator<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, Eigen::DefaultDevice>':
lib/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:100:55: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >, Eigen::DefaultDevice>'
100 | IsAligned = TensorEvaluator<LeftArgType, Device>::IsAligned & TensorEvaluator<RightArgType, Device>::IsAligned,
| ^~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h:92:66: required from 'const bool Eigen::internal::IsVectorizable<Eigen::DefaultDevice, const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > > >::value'
92 | static const bool value = TensorEvaluator<Expression, Device>::PacketAccess;
| ^~~~~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
lib/eigen_tensor_s.cpp:35:107: required from here
35 | output = SpatialConvolution(input, kernel, row_stride, col_stride, pad_typ, row_in_stride, col_in_stride);
| ^
lib/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:42:66: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
42 | PacketAccess = (internal::unpacket_traits<PacketReturnType>::size > 1),
| ^~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'struct Eigen::TensorContractionEvaluatorBase<Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const std::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::IndexList<Eigen::type2index<1>, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice> >':
lib/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:572:8: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const std::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::IndexList<Eigen::type2index<1>, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>'
572 | struct TensorEvaluator<const TensorContractionOp<Indices, LeftArgType, RightArgType>, Device> :
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:105:51: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const std::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::IndexList<Eigen::type2index<1>, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >, Eigen::DefaultDevice>'
105 | IsAligned = TensorEvaluator<ArgType, Device>::IsAligned,
| ^~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:96:70: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const std::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::IndexList<Eigen::type2index<1>, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > > >, Eigen::DefaultDevice>'
96 | typedef typename TensorEvaluator<RightArgType, Device>::Dimensions Dimensions;
| ^~~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h:92:66: required from 'const bool Eigen::internal::IsVectorizable<Eigen::DefaultDevice, const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const std::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::IndexList<Eigen::type2index<1>, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > > > >::value'
92 | static const bool value = TensorEvaluator<Expression, Device>::PacketAccess;
| ^~~~~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const std::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::IndexList<Eigen::type2index<1>, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
lib/eigen_tensor_s.cpp:51:135: required from here
51 | input = SpatialConvolutionBackwardInput(kernel, output, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
| ^
lib/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:124:66: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
124 | PacketAccess = (internal::unpacket_traits<PacketReturnType>::size > 1),
| ^~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h: In instantiation of 'const int Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const std::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::IndexList<Eigen::type2index<1>, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>::PacketSize':
lib/unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h:104:21: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const std::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::IndexList<Eigen::type2index<1>, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer>, Eigen::DefaultDevice>'
104 | PacketAccess = (PacketSize > 1),
| ^~~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:140:92: required from 'const int Eigen::TensorContractionEvaluatorBase<Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const std::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::IndexList<Eigen::type2index<1>, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice> >::LDims'
140 | internal::array_size<typename TensorEvaluator<EvalLeftArgType, Device>::Dimensions>::value;
| ^~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:147:30: required from 'struct Eigen::TensorContractionEvaluatorBase<Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const std::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::IndexList<Eigen::type2index<1>, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice> >'
147 | typedef array<Index, LDims - ContractDims> left_nocontract_t;
| ~~~~~~^~~~~~~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:572:8: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const std::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::IndexList<Eigen::type2index<1>, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> >, Eigen::DefaultDevice>'
572 | struct TensorEvaluator<const TensorContractionOp<Indices, LeftArgType, RightArgType>, Device> :
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:105:51: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const std::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::IndexList<Eigen::type2index<1>, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >, Eigen::DefaultDevice>'
105 | IsAligned = TensorEvaluator<ArgType, Device>::IsAligned,
| ^~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:96:70: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const std::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::IndexList<Eigen::type2index<1>, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > > >, Eigen::DefaultDevice>'
96 | typedef typename TensorEvaluator<RightArgType, Device>::Dimensions Dimensions;
| ^~~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h:92:66: required from 'const bool Eigen::internal::IsVectorizable<Eigen::DefaultDevice, const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const std::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::IndexList<Eigen::type2index<1>, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > > > >::value'
92 | static const bool value = TensorEvaluator<Expression, Device>::PacketAccess;
| ^~~~~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, const Eigen::TensorForcedEvalOp<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorShufflingOp<const std::array<long int, 4>, const Eigen::TensorReverseOp<const Eigen::IndexList<Eigen::type2index<1>, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::MakePointer> > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
lib/eigen_tensor_s.cpp:51:135: required from here
51 | input = SpatialConvolutionBackwardInput(kernel, output, input_rows, input_cols, row_stride, col_stride, row_in_stride, col_in_stride);
| ^
lib/unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h:100:78: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
100 | static const int PacketSize = internal::unpacket_traits<PacketReturnType>::size;
| ^~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'struct Eigen::TensorContractionEvaluatorBase<Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const std::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice> >':
lib/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:572:8: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const std::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > >, Eigen::DefaultDevice>'
572 | struct TensorEvaluator<const TensorContractionOp<Indices, LeftArgType, RightArgType>, Device> :
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:105:51: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const std::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, Eigen::DefaultDevice>'
105 | IsAligned = TensorEvaluator<ArgType, Device>::IsAligned,
| ^~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:96:70: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const std::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > >, Eigen::DefaultDevice>'
96 | typedef typename TensorEvaluator<RightArgType, Device>::Dimensions Dimensions;
| ^~~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h:92:66: required from 'const bool Eigen::internal::IsVectorizable<Eigen::DefaultDevice, const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const std::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > > > >::value'
92 | static const bool value = TensorEvaluator<Expression, Device>::PacketAccess;
| ^~~~~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 4>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorShufflingOp<const std::array<long int, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 4, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 4, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 4, 1> >]'
310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
lib/eigen_tensor_s.cpp:67:138: required from here
67 | kernel = SpatialConvolutionBackwardKernel(input, output, kernel_rows, kernel_cols, row_stride, col_stride, row_in_stride, col_in_stride);
| ^
lib/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:124:66: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
124 | PacketAccess = (internal::unpacket_traits<PacketReturnType>::size > 1),
| ^~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of 'struct Eigen::TensorContractionEvaluatorBase<Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice> >':
lib/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:572:8: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>'
572 | struct TensorEvaluator<const TensorContractionOp<Indices, LeftArgType, RightArgType>, Device> :
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:105:51: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>'
105 | IsAligned = TensorEvaluator<ArgType, Device>::IsAligned,
| ^~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:96:70: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >, Eigen::DefaultDevice>'
96 | typedef typename TensorEvaluator<RightArgType, Device>::Dimensions Dimensions;
| ^~~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h:92:66: required from 'const bool Eigen::internal::IsVectorizable<Eigen::DefaultDevice, const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >::value'
92 | static const bool value = TensorEvaluator<Expression, Device>::PacketAccess;
| ^~~~~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
lib/eigen_tensor_s.cpp:85:90: required from here
85 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
| ^
lib/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:124:66: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
124 | PacketAccess = (internal::unpacket_traits<PacketReturnType>::size > 1),
| ^~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h: In instantiation of 'struct Eigen::TensorEvaluator<const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, Eigen::DefaultDevice>':
lib/unsupported/Eigen/CXX11/src/Tensor/TensorPadding.h:97:54: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>'
97 | PacketAccess = TensorEvaluator<ArgType, Device>::PacketAccess,
| ^~~~~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorPatch.h:85:107: required from 'const int Eigen::TensorEvaluator<const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::NumDims'
85 | static const int NumDims = internal::array_size<typename TensorEvaluator<ArgType, Device>::Dimensions>::value + 1;
| ^~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorPatch.h:86:34: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>'
86 | typedef DSizes<Index, NumDims> Dimensions;
| ^~~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:105:51: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>'
105 | IsAligned = TensorEvaluator<ArgType, Device>::IsAligned,
| ^~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorStriding.h:104:107: required from 'const int Eigen::TensorEvaluator<const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >, Eigen::DefaultDevice>::NumDims'
104 | static const int NumDims = internal::array_size<typename TensorEvaluator<ArgType, Device>::Dimensions>::value;
| ^~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorStriding.h:105:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
lib/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:572:8: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>'
572 | struct TensorEvaluator<const TensorContractionOp<Indices, LeftArgType, RightArgType>, Device> :
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:105:51: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >, Eigen::DefaultDevice>'
105 | IsAligned = TensorEvaluator<ArgType, Device>::IsAligned,
| ^~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:96:70: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >, Eigen::DefaultDevice>'
96 | typedef typename TensorEvaluator<RightArgType, Device>::Dimensions Dimensions;
| ^~~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h:92:66: required from 'const bool Eigen::internal::IsVectorizable<Eigen::DefaultDevice, const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >::value'
92 | static const bool value = TensorEvaluator<Expression, Device>::PacketAccess;
| ^~~~~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
lib/eigen_tensor_s.cpp:85:90: required from here
85 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
| ^
lib/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:162:66: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
162 | PacketAccess = (internal::unpacket_traits<PacketReturnType>::size > 1),
| ^~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h: In instantiation of 'struct Eigen::TensorEvaluator<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, Eigen::DefaultDevice>':
lib/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:100:55: required from 'struct Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >, Eigen::DefaultDevice>'
...TRUNCATED BY DUNE...
lib/unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:42:46: required from 'typename Tensor::PacketReturnType Eigen::internal::CoeffLoader<Tensor, HasRawAccess>::packet(typename Tensor::Index) const [with int LoadMode = 0; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; bool HasRawAccess = false; typename Tensor::PacketReturnType = __m256d; typename Tensor::Index = long int]'
42 | return m_tensor.template packet<LoadMode>(index);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:250:59: required from 'Eigen::internal::BaseTensorContractionMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::BaseTensorContractionMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacket(Index, Index) const [with int AlignmentType = 0; Scalar = double; Index = long int; int side = 0; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 2>; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m256d]'
250 | return this->m_tensor.template packet<AlignmentType>(index);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:377:58: required from 'Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacket(Index) const [with Scalar = double; Index = long int; int side = 0; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 2>; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m256d]'
377 | return m_base_mapper.template loadPacket<Alignment>(i, 0);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
lib/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1974:44: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
lib/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const std::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >, Eigen::DefaultDevice>; Scalar = double]'
334 | evalTo(data);
| ^~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const std::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
128 | return m_impl.evalSubExprsIfNeeded(data);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const std::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const std::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >]'
57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 2>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 3>, const Eigen::TensorReverseOp<const std::array<bool, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
lib/eigen_tensor_d.cpp:115:131: required from here
115 | input = CuboidConvolutionBackwardInput(kernel, output, input_depth, input_rows, input_cols, depth_stride, row_stride, col_stride);
| ^
lib/unsupported/Eigen/NeuralNetwork/eigen_volume_patch.h:40:52: warning: ignoring attributes on template argument 'Eigen::PacketType<double, Eigen::DefaultDevice>::type' {aka '__m256d'} [-Wignored-attributes]
40 | internal::unpacket_traits<PacketReturnType>::size;
| ^~~~
In file included from lib/unsupported/Eigen/CXX11/Tensor:119:
lib/unsupported/Eigen/CXX11/src/Tensor/TensorPatch.h: In instantiation of 'const int Eigen::TensorEvaluator<const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>::PacketSize':
lib/unsupported/Eigen/CXX11/src/Tensor/TensorPatch.h:187:5: required from 'Eigen::TensorEvaluator<const Eigen::TensorPatchOp<PatchDim, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorPatchOp<PatchDim, XprType>, Device>::packet(Index) const [with int LoadMode = 0; PatchDim = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
187 | EIGEN_STATIC_ASSERT((PacketSize > 1), YOU_MADE_A_PROGRAMMING_MISTAKE)
| ^~~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: required from 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; NewDimensions = const Eigen::DSizes<long int, 8>; ArgType = const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
142 | return m_impl.template packet<LoadMode>(index);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorStriding.h:196:64: required from 'Eigen::TensorEvaluator<const Eigen::TensorStridingOp<Strides, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorStridingOp<Strides, XprType>, Device>::packet(Index) const [with int LoadMode = 0; Strides = const std::array<long int, 8>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
196 | PacketReturnType rslt = m_impl.template packet<Unaligned>(inputIndices[0]);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: required from 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; NewDimensions = const Eigen::DSizes<long int, 2>; ArgType = const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
142 | return m_impl.template packet<LoadMode>(index);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:42:46: required from 'typename Tensor::PacketReturnType Eigen::internal::CoeffLoader<Tensor, HasRawAccess>::packet(typename Tensor::Index) const [with int LoadMode = 0; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, Eigen::DefaultDevice>; bool HasRawAccess = false; typename Tensor::PacketReturnType = __m256; typename Tensor::Index = long int]'
42 | return m_tensor.template packet<LoadMode>(index);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:250:59: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
lib/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
334 | evalTo(data);
| ^~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
128 | return m_impl.evalSubExprsIfNeeded(data);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >]'
57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
lib/eigen_tensor_s.cpp:85:90: required from here
85 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
| ^
lib/unsupported/Eigen/CXX11/src/Tensor/TensorPatch.h:90:78: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
90 | static const int PacketSize = internal::unpacket_traits<PacketReturnType>::size;
| ^~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorPatch.h: In instantiation of 'const int Eigen::TensorEvaluator<const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>::PacketSize':
lib/unsupported/Eigen/CXX11/src/Tensor/TensorPatch.h:187:5: required from 'Eigen::TensorEvaluator<const Eigen::TensorPatchOp<PatchDim, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorPatchOp<PatchDim, XprType>, Device>::packet(Index) const [with int LoadMode = 0; PatchDim = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256d; Index = long int]'
187 | EIGEN_STATIC_ASSERT((PacketSize > 1), YOU_MADE_A_PROGRAMMING_MISTAKE)
| ^~~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: required from 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; NewDimensions = const Eigen::DSizes<long int, 8>; ArgType = const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256d; Index = long int]'
142 | return m_impl.template packet<LoadMode>(index);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorStriding.h:196:64: required from 'Eigen::TensorEvaluator<const Eigen::TensorStridingOp<Strides, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorStridingOp<Strides, XprType>, Device>::packet(Index) const [with int LoadMode = 0; Strides = const std::array<long int, 8>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256d; Index = long int]'
196 | PacketReturnType rslt = m_impl.template packet<Unaligned>(inputIndices[0]);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: required from 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; NewDimensions = const Eigen::DSizes<long int, 2>; ArgType = const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256d; Index = long int]'
142 | return m_impl.template packet<LoadMode>(index);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:42:46: required from 'typename Tensor::PacketReturnType Eigen::internal::CoeffLoader<Tensor, HasRawAccess>::packet(typename Tensor::Index) const [with int LoadMode = 0; Tensor = Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, Eigen::DefaultDevice>; bool HasRawAccess = false; typename Tensor::PacketReturnType = __m256d; typename Tensor::Index = long int]'
42 | return m_tensor.template packet<LoadMode>(index);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h:250:59: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
lib/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
334 | evalTo(data);
| ^~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
128 | return m_impl.evalSubExprsIfNeeded(data);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >]'
57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
lib/eigen_tensor_d.cpp:98:90: required from here
98 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
| ^
lib/unsupported/Eigen/CXX11/src/Tensor/TensorPatch.h:90:78: warning: ignoring attributes on template argument 'Eigen::PacketType<double, Eigen::DefaultDevice>::type' {aka '__m256d'} [-Wignored-attributes]
90 | static const int PacketSize = internal::unpacket_traits<PacketReturnType>::size;
| ^~~~
In file included from lib/unsupported/Eigen/CXX11/Tensor:127:
lib/unsupported/Eigen/CXX11/src/Tensor/TensorPadding.h: In instantiation of 'const int Eigen::TensorEvaluator<const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >, Eigen::DefaultDevice>::PacketSize':
lib/unsupported/Eigen/CXX11/src/Tensor/TensorPadding.h:260:5: required from 'Eigen::TensorEvaluator<const Eigen::TensorPaddingOp<PaddingDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorPaddingOp<PaddingDimensions, XprType>, Device>::packetColMajor(Index) const [with PaddingDimensions = const std::array<Eigen::IndexPair<long int>, 5>; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
260 | EIGEN_STATIC_ASSERT((PacketSize > 1), YOU_MADE_A_PROGRAMMING_MISTAKE)
| ^~~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorPadding.h:184:14: required from 'Eigen::TensorEvaluator<const Eigen::TensorPaddingOp<PaddingDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorPaddingOp<PaddingDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; PaddingDimensions = const std::array<Eigen::IndexPair<long int>, 5>; ArgType = const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
184 | return packetColMajor(index);
| ^~~~~~~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorPatch.h:233:64: required from 'Eigen::TensorEvaluator<const Eigen::TensorPatchOp<PatchDim, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorPatchOp<PatchDim, XprType>, Device>::packet(Index) const [with int LoadMode = 0; PatchDim = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
233 | PacketReturnType rslt = m_impl.template packet<Unaligned>(inputIndices[0]);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: required from 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; NewDimensions = const Eigen::DSizes<long int, 8>; ArgType = const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
142 | return m_impl.template packet<LoadMode>(index);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorStriding.h:196:64: required from 'Eigen::TensorEvaluator<const Eigen::TensorStridingOp<Strides, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorStridingOp<Strides, XprType>, Device>::packet(Index) const [with int LoadMode = 0; Strides = const std::array<long int, 8>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256; Index = long int]'
196 | PacketReturnType rslt = m_impl.template packet<Unaligned>(inputIndices[0]);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
lib/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = float]'
334 | evalTo(data);
| ^~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = float]'
128 | return m_impl.evalSubExprsIfNeeded(data);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = float]'
128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > >]'
57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<float, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<float, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<float, 5, 1> >]'
310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
lib/eigen_tensor_s.cpp:85:90: required from here
85 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
| ^
lib/unsupported/Eigen/CXX11/src/Tensor/TensorPadding.h:93:78: warning: ignoring attributes on template argument 'Eigen::PacketType<float, Eigen::DefaultDevice>::type' {aka '__m256'} [-Wignored-attributes]
93 | static const int PacketSize = internal::unpacket_traits<PacketReturnType>::size;
| ^~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorPadding.h: In instantiation of 'const int Eigen::TensorEvaluator<const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >, Eigen::DefaultDevice>::PacketSize':
lib/unsupported/Eigen/CXX11/src/Tensor/TensorPadding.h:260:5: required from 'Eigen::TensorEvaluator<const Eigen::TensorPaddingOp<PaddingDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorPaddingOp<PaddingDimensions, XprType>, Device>::packetColMajor(Index) const [with PaddingDimensions = const std::array<Eigen::IndexPair<long int>, 5>; ArgType = const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; Device = Eigen::DefaultDevice; PacketReturnType = __m256d; Index = long int]'
260 | EIGEN_STATIC_ASSERT((PacketSize > 1), YOU_MADE_A_PROGRAMMING_MISTAKE)
| ^~~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorPadding.h:184:14: required from 'Eigen::TensorEvaluator<const Eigen::TensorPaddingOp<PaddingDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorPaddingOp<PaddingDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; PaddingDimensions = const std::array<Eigen::IndexPair<long int>, 5>; ArgType = const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; Device = Eigen::DefaultDevice; PacketReturnType = __m256d; Index = long int]'
184 | return packetColMajor(index);
| ^~~~~~~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorPatch.h:233:64: required from 'Eigen::TensorEvaluator<const Eigen::TensorPatchOp<PatchDim, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorPatchOp<PatchDim, XprType>, Device>::packet(Index) const [with int LoadMode = 0; PatchDim = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256d; Index = long int]'
233 | PacketReturnType rslt = m_impl.template packet<Unaligned>(inputIndices[0]);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: required from 'Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::packet(Index) const [with int LoadMode = 0; NewDimensions = const Eigen::DSizes<long int, 8>; ArgType = const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256d; Index = long int]'
142 | return m_impl.template packet<LoadMode>(index);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorStriding.h:196:64: required from 'Eigen::TensorEvaluator<const Eigen::TensorStridingOp<Strides, XprType>, Device>::PacketReturnType Eigen::TensorEvaluator<const Eigen::TensorStridingOp<Strides, XprType>, Device>::packet(Index) const [with int LoadMode = 0; Strides = const std::array<long int, 8>; ArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; PacketReturnType = __m256d; Index = long int]'
196 | PacketReturnType rslt = m_impl.template packet<Unaligned>(inputIndices[0]);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:142:44: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
lib/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:334:7: required from 'bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(Scalar*) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >, Eigen::DefaultDevice>; Scalar = double]'
334 | evalTo(data);
| ^~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:128:39: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(CoeffReturnType*) [with NewDimensions = const Eigen::DSizes<long int, 5>; ArgType = const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > >; Device = Eigen::DefaultDevice; CoeffReturnType = double]'
128 | return m_impl.evalSubExprsIfNeeded(data);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:128:44: required from 'bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(Scalar*) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >; RightArgType = const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; Device = Eigen::DefaultDevice; Scalar = double]'
128 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:57:61: required from 'static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > >]'
57 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
lib/unsupported/Eigen/CXX11/src/Tensor/TensorMap.h:310:65: required from 'Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::Self& Eigen::TensorMap<PlainObjectType, Options_, MakePointer_>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorContractionOp<const std::array<Eigen::IndexPair<long int>, 1>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorStridingOp<const std::array<long int, 8>, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 8>, const Eigen::TensorPatchOp<const Eigen::DSizes<long int, 5>, const Eigen::TensorPaddingOp<const std::array<Eigen::IndexPair<long int>, 5>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > > > >, const Eigen::TensorReshapingOp<const Eigen::DSizes<long int, 2>, const Eigen::TensorMap<Eigen::Tensor<double, 5, 1> > > > >; PlainObjectType = Eigen::Tensor<double, 5, 1>; int Options_ = 0; MakePointer_ = Eigen::MakePointer; Self = Eigen::TensorMap<Eigen::Tensor<double, 5, 1> >]'
310 | internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
lib/eigen_tensor_d.cpp:98:90: required from here
98 | output = CuboidConvolution(input, kernel, depth_stride, row_stride, col_stride, pad_typ);
| ^
lib/unsupported/Eigen/CXX11/src/Tensor/TensorPadding.h:93:78: warning: ignoring attributes on template argument 'Eigen::PacketType<double, Eigen::DefaultDevice>::type' {aka '__m256d'} [-Wignored-attributes]
93 | static const int PacketSize = internal::unpacket_traits<PacketReturnType>::size;
| ^~~~
2025-03-22 20:49.06 ---> saved as "f2670607d3e03e7e2aecb8a79d66ca85b8daa3eb6e388bf6415b3cc7e6ca2acd"
Job succeeded
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