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| author | Francesco.Petrogalli@arm.com <francesco.petrogalli@arm.com> | 2022-04-05 10:31:08 +0000 |
|---|---|---|
| committer | Francesco Petrogalli <francesco.petrogalli@arm.com> | 2022-05-24 14:28:27 +0000 |
| commit | 5fcf22dadf092efd7aafb359f9229aa270eb1129 (patch) | |
| tree | f309426ed19bd6710329da3b530167db72d1c6b2 /SConscript | |
| parent | a8caa023f0d7b71b3a250a14ceee935052fcc74a (diff) | |
| download | ComputeLibrary-5fcf22dadf092efd7aafb359f9229aa270eb1129.tar.gz | |
[arm_gemm] Import fixed-format kernels from gemm_linux.
This is a No Functional Change Intended (NFCI) patch. It imports the
kernel in the code, but the interface to select them and expose the
format of the weight tensors to the user will be provided in a
subsequent patch.
Kernels and kernel selection code in arm_gemm has been provided
by David.Mansell <David.Mansell@arm.com>.
The kernels are not compiled in the library by default, but need to be
selected via the `scons` option `experimental_fixed_format_kernels=1`.
Resolves: ONCPUML-829
Signed-off-by: Francesco.Petrogalli@arm.com <francesco.petrogalli@arm.com>
Change-Id: If00ccb2b9b7221e01b214cf9783111226ccc8bf4
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7380
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Reviewed-by: SiCong Li <sicong.li@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'SConscript')
| -rw-r--r-- | SConscript | 7 |
1 files changed, 7 insertions, 0 deletions
diff --git a/SConscript b/SConscript index 4a832fcfaa..358f9dd971 100644 --- a/SConscript +++ b/SConscript @@ -500,6 +500,10 @@ if env['experimental_dynamic_fusion']: lib_files += filelist['experimental']['dynamic_fusion'] arm_compute_env.Append(CPPDEFINES = ['ENABLE_EXPERIMENTAL_DYNAMIC_FUSION']) +# Fixed format GEMM kernels. +if env['experimental_fixed_format_kernels']: + arm_compute_env.Append(CPPDEFINES = ['ENABLE_FIXED_FORMAT_KERNELS']) + # Logging files if env["logging"]: @@ -576,6 +580,9 @@ if env['neon']: else: attrs = get_attrs_list(env, env['data_type_support'], env['data_layout_support']) + if env['experimental_fixed_format_kernels']: + attrs.append("experimental_fixed_format_kernels") + # Setup data-type and data-layout files to include cpu_operators = custom_operators if use_custom_ops else filelist['cpu']['operators'].keys() cpu_ops_to_build = resolve_operator_dependencies(filelist, cpu_operators, 'cpu') |