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Gpu code in dynamic fusion is now written by stable CKW. We do not need CKW protoype and the older writer implementation, i.e. TemplateWriter.
It also removes the need for the flag -DACL_INTERNAL_TEST_CKW_IN_DF to compile and test dynamic fusion operator.
Resolves: COMPMID-6715
Signed-off-by: Gunes Bayir <gunes.bayir@arm.com>
Change-Id: I9f9453311e79d9be612bd4754240d832f98503e8
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/11116
Benchmark: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Jakub Sujak <jakub.sujak@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
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- Refactor all kernels to work with the CKW stable API
- Add support for sub-tile in the op_load/op_store CKW operator
- Fix mismatch in resize
- Add comments in all kernels written with CKW to help developers
understand the structure of the code
- Add texture image support in depthwise convolution written with CKW
- Add support for different block sizes in depthwise convolution
- Remove the use of the dynamic fusion helper functions.
- Add support for floor in the op_unary() of CKW
Resolves: COMPMID-6708, COMPMID-6743, COMPMID-6530
Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Signed-off-by: Gunes Bayir <gunes.bayir@arm.com>
Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com>
Signed-off-by: Jakub Sujak <jakub.sujak@arm.com>
Change-Id: I8104ce4d04a3138a1aeb0b84940e1f1c89e76069
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10914
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Jakub Sujak <jakub.sujak@arm.com>
Reviewed-by: Gunes Bayir <gunes.bayir@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Benchmark: Arm Jenkins <bsgcomp@arm.com>
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Code is formatted as per a revised clang format configuration
file(not part of this delivery). Version 14.0.6 is used.
Exclusion List:
- files with .cl extension
- files that are not strictly C/C++ (e.g. Android.bp, Sconscript ...)
And the following directories
- compute_kernel_writer/validation/
- tests/
- include/
- src/core/NEON/kernels/convolution/
- src/core/NEON/kernels/arm_gemm/
- src/core/NEON/kernels/arm_conv/
- data/
There will be a follow up for formatting of .cl files and the
files under tests/ and compute_kernel_writer/validation/.
Signed-off-by: Felix Thomasmathibalan <felixjohnny.thomasmathibalan@arm.com>
Change-Id: Ib7eb1fcf4e7537b9feaefcfc15098a804a3fde0a
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10391
Benchmark: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gunes Bayir <gunes.bayir@arm.com>
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* Add fp16 support
* Implement broadcasting to elementwise binary
* Implement kernel name and kernel config id
* Always use explicit cast in ckw unary, binary and ternary elementwise
functions. This is to address the accidental use of double literals,
with other benefits.
* Refactor TypeConverter for smaller includes
Resolves COMPMID-6260
Change-Id: I26b726746f8c0dd7b5942ad379d56f4d7642d15f
Signed-off-by: SiCong Li <sicong.li@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9999
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Jakub Sujak <jakub.sujak@arm.com>
Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Benchmark: Arm Jenkins <bsgcomp@arm.com>
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* Add flexible runtime argument setting that accept argument bindings
exported from ckw.
* Introduce internal build flag ACL_INTERNAL_TEST_CKW_IN_DF. If set to
true, ckw will be tested in dynamic fusion validation tests. Otherwise
it will not be tested and the dynamic fusion will keep using
ClTemplateWriter instead.
* Fix CKW sampler for elementwise binary to deal with tile sizes > 1
in both dimensions
Resolves: COMPMID-6282
Partially resolves: COMPMID-6260
Signed-off-by: SiCong Li <sicong.li@arm.com>
Change-Id: I0ab225a4484eb2119643d900a4e72806558626ee
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9917
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Jakub Sujak <jakub.sujak@arm.com>
Reviewed-by: Anitha Raj <Anitha.Raj@arm.com>
Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Benchmark: Arm Jenkins <bsgcomp@arm.com>
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* Partially port ElementwiseBinary component to ckw (broadcast not
supported yet)
* Port Store component to ckw
* Move KernelArgumentsHelpers to ckw_driver/ as it's only used by the
driver
ckw_driver is a middle layer between dynamic fusion and Compute Kernel
Writer (CKW). It consumes the fused kernel component stream produced by
Dynamic Fusion and uses CKW to write the kernel code complete with all
meta info needed by the runtime to enqueue the kernel.
It consists of two parts:
* Kernel writing: This resides in dynamic_fusion/sketch
* Runtime utilities: This resides in dynamic_fusion/runtime
The integration (separation between DF and CKW) occurs in two places:
* Inside GpuCKWDriver
global driver that coordinates how the
final fused kernel code is assembled together alongwith other meta
info needed by runtime.
* Inside each instantiated IGpuCKWComponentDriver
component driver that drives CKW to write component-specific code
or do component-specific configurations
Partially resolves: COMPMID-5792 COMPMID-6282 COMPMID-6260 COMPMID-6266
Signed-off-by: SiCong Li <sicong.li@arm.com>
Change-Id: Ib57a080a65fe8cfee1a8df1529fe572005a6d2f2
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9847
Reviewed-by: Gunes Bayir <gunes.bayir@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Benchmark: Arm Jenkins <bsgcomp@arm.com>
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