[ROCM-27193] Add gfx1250 to MIOpen CK supported archs and known arch list

[SreecharanGundaboluAMD]

JIRA ID : ROCM-27193

Motivation

gfx1250 is a new AMD GPU architecture that was missing from MIOpen's Composable Kernel (CK) supported architecture list and from the known-architecture enumeration used in handle unit tests. Without this entry, any MIOpen build targeting gfx1250 silently skips all CK grouped-conv solvers, and the handle_test suite would fail or produce a false negative on gfx1250 hardware.

Technical Details

Two additive, one-line changes following the same pattern used for prior gfx generations:

1. projects/miopen/src/ck_impl/CMakeLists.txt — Added gfx1250 to _CK_SUPPORTED_ARCHS. This list gates which GPU targets receive CK grouped-conv kernel compilation within MIOpen's CMake build. Missing entries cause the target to be silently filtered out of the grouped-conv solver set.

2. projects/miopen/test/gtest/handle_test.cpp — Added "gfx1250" to the static expected-architecture array in test_arch_name(). This test validates that MIOpen::Handle::GetDeviceName() returns a string from the known-good set; omitting gfx1250 would cause a test failure on gfx1250 hardware.

No logic changes, no API surface modifications, and no existing architectures are affected.

Risk Assessment

Risk Level: 🟢 Low

Level	Indicators
🟢 Low	Purely additive: one new entry in a CMake arch list, one new string in a gtest array. No logic changes, no existing architecture affected, trivially revertable.

Impacted Components

• projects/miopen/src/ck_impl/CMakeLists.txt — CK grouped-conv solver build configuration
• projects/miopen/test/gtest/handle_test.cpp — Handle/arch-name unit test

Potential Side Effects

• Builds targeting gfx1250 will now attempt to compile CK grouped-conv kernels. If CK itself does not yet fully support gfx1250, those builds may surface new compilation errors — this is the expected discovery mechanism and not a regression for any existing target.
• No side effects on any other GPU architecture.

Mitigation Steps

• The change is purely additive and trivially revertable with a single-line removal in each file.
• CI will exercise the updated handle_test and any gfx1250-targeted build jobs, catching regressions immediately.

Test Plan

• Run the failing smoke tests and confirm that they are not failing with the following errors anymore:

• Missing arch in gtest

Value of: std::any_of(known_arch.begin(), known_arch.end(),
           [&](std::string arch) { return arch == this_arch; })
  Actual: false
  Expected: true

• Add CK to gfx1250 whitelist

MIOpen(HIP): Warning [OpenRuntimeLibraryForDevice] CK grouped conv library not found for device gfx1250: libMIOpenCKGroupedConv_gfx1250.so: cannot open shared object file: No such file or directory

Test Result

• unknown_gpu exception

CPU_Handle_NONE
GPU_MIOpenDriverGemmTest_FP16 
GPU_UnitTestConvSolverFFTFwd_FP32 / FFTBwd_FP32 
GPU_UnitTestActivationDescriptor_FP32 / FP16 
GPU_UnitTestConvSolverWinoRage2x3{Fwd,Bwd,Wrw}_FP16
GPU_UnitTestConvSolverWinoFury2x3{Fwd,Bwd,Wrw}_FP16 
GPU_UnitTestConvSolverTransposedBinWinograd*
GPU_UnitTestConvSolverImplicitGemmGroup{Fwd,Wrw}Xdlops_{FP16,BFP16,FP32,TF32} 
GPU_UnitTestConvSolverGemmFwd* / GemmWrw* 
GPU_CBAFind2FusionWorkspace_FP32 (2 tests — also shows "Gpu data is all zeros")
GPU_GemmFwdRest_LargeMemory_{FP32,FP16}, GPU_GemmBwdRest_LargeMemory_{FP32,FP16}, GPU_GemmWrwUniversal_LargeMemory_{FP32,FP16} 

• Reduce accuracy mismatch - Fixed with [ROCM-26590] Fix legacy-CK buffer resource descriptor for gfx1250 #8758
  GPU_Reduce_FP32 (432 tests) and GPU_Reduce_FP16

• RNN Vanilla backward weights failure - Fixed with [ROCM-26590] Fix legacy-CK buffer resource descriptor for gfx1250 #8758
  GPU_RNNVanilla_FP32 and GPU_RNNVanillaDropout_FP32

Submission Checklist

• Look over the contributing guidelines at https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests.

[therock-pr-bot]

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⛔ Forbidden Files	✅ Pass	—
🧪 Unit Test	✅ Pass	PR does not contain code files — Unit Test auto-passed
🔎 pre-commit	✅ Pass	—
🚫 Draft PR	🔜 To Be Enabled	—
🚩 Feature Flag	🔜 To Be Enabled	—
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