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* explicit cast ptr offset

* formating change

* make sure cmake can handle xnack targets

* dont build xdl instances for gfx906:xnack-

* dont build xdl tests for gfx906:xnack-

Before, generate.py appended the list at the end of the output file.
When running the cmake configuration steps multiple times on the
examples, the blob list (such as fwd_blob_list.txt) would grow at every
configuration.
`library/src/tensor_operation_instance/gpu/mha/CMakeLists.txt` worked around
this issue by removing the output file if it exists.

Now, generate.py overrides the content of the output file.
There is no need for the workaround in the CMakeLists.txt;
and the issue is solved for the example projects too.

Add instances for int8 grouped conv2d fwd
---------
Co-authored-by: root <root@dell300x-pla-t28-03.pla.dcgpu>
Co-authored-by: Bartłomiej Kocot <barkocot@amd.com>

* Temporary disable part of dynamic op conv instances

* fix

* more accurate residual

* modify comment

* Fix literal case in README.md

---------
Co-authored-by: Po Yen Chen <PoYen.Chen@amd.com>

* disable fp8 gemm_universal on gfx90a and gfx908 by default

* fix cmake syntax

* fix clang format

* add ifdefs in amd_xdlops

* disable fp8 gemm instances on gfx90a by default

* update readme

* fix compile error

* fix typo of padding

* Add smoothquant op

* Add smoothquant instance library

* refine type

* add test script

* Re-generate smoothquant.hpp

* Always use 'current year' in copyright

* use Generic2dBlockShape instead

* Add vector = 8 instance back

* Find exe path automatically

* Simplify the api condition

* Remove debugging code

* update year

* Add blank line between function declaration

* explicitly cast return value to dim3

* refine return value

* Fix default warmup and repeat value

* Add comment

* refactor sommthquant cmake

* Add README

* Fix typo

---------
Co-authored-by: Po Yen, Chen <PoYen.Chen@amd.com>

* hot fix ln

* some rename