Enabled some cases with known issue to test triage_bot

[daisyden]

No description provided.

[pytorchxpubot]

@sys_pytorchxpubot triage result for run 15387896749

Triage bot UT analaysis result for reference only, please note unique error message only report once:

1. third_party.torch-xpu-ops.test.xpu.test_ops_xpu.TestCommonXPU test_compare_cpu_sparse_sampled_addmm_xpu_float32 got failed with error message

 NotImplementedError: Could not run 'aten::sparse_sampled_addmm' with arguments from the 'SparseCsrXPU' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::sparse_sampled_addmm' is only available for these backends: [XPU, Meta, SparseCsrCPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMTIA, AutogradMAIA, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradMeta, AutogradNestedTensor, Tracer, AutocastCPU, AutocastMTIA, AutocastMAIA, AutocastXPU, AutocastMPS, AutocastCUDA, FuncTorchBatched, BatchedNestedTensor, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PreDispatch, PythonDispatcher]. ; Exception: Caused by reference input at index 0: SampleInput(input=Tensor[size=(0, 0), device="xpu:0", dtype=torch.float32], args=TensorList[Tensor[size=(0, 0), device="xpu:0", dtype=torch.float32], Tensor[size=(0, 0), device="xpu:0", dtype=torch.float32]], kwargs={'alpha': '0.6', 'beta': '0.2'}, broadcasts_input=False, name='') 

Triage bot response:

{
  "similar_issue_id": 618,
  "similar_issue_state": "closed",
  "issue_owner": "PenghuiCheng",
  "issue_description": "The failed unit test is due to the 'sparse_sampled_addmm' operation not being implemented for the 'SparseCsrXPU' backend. This is a known issue related to missing sparse tensor operation support in the XPU backend.",
  "root_causes": [
    "The 'sparse_sampled_addmm' operation is not implemented for the 'SparseCsrXPU' backend.",
    "Sparse tensor operations are not fully supported on XPU, leading to similar issues as previously reported."
  ],
  "suggested_solutions": [
    "Implement the 'sparse_sampled_addmm' operation for the XPU backend to resolve the NotImplementedError.",
    "Enhance the support for sparse tensor operations on XPU to align with other backends."
  ]
}

2. third_party.torch-xpu-ops.test.xpu.test_ops_xpu.TestCommonXPU test_python_ref__refs_eye_xpu_float8_e4m3fn got failed with error message

 RuntimeError: "where_xpu" not implemented for 'Float8_e4m3fn' ; Exception: Caused by reference input at index 0: SampleInput(input=0, args=(), kwargs={'device': "'xpu:0'", 'dtype': 'torch.float8_e4m3fn', 'requires_grad': 'False'}, broadcasts_input=False, name='') 

Triage bot response:

{
  "similar_issue_id": "233",
  "similar_issue_state": "closed",
  "issue_owner": "guangyey",
  "issue_description": "Failures in test_ops::TestCompositeCompliance related to test failures and feature support in torch-xpu-ops, with issues in tensor memory management and unsupported operations.",
  "root_causes": [
    "Unsupported operation for Float8_e4m3fn dtype on XPU.",
    "Missing implementation of 'where' function for Float8_e4m3fn on XPU backend."
  ],
  "suggested_solutions": [
    "Implement the 'where' function for Float8_e4m3fn dtype in the XPU backend.",
    "Ensure proper handling of Float8 data types in DispatchStub for XPU."
  ]
}

3. third_party.torch-xpu-ops.test.xpu.test_ops_xpu.TestCommonXPU test_python_ref__refs_eye_xpu_float8_e4m3fnuz got failed with error message

 RuntimeError: "where_xpu" not implemented for 'Float8_e4m3fnuz' ; Exception: Caused by reference input at index 0: SampleInput(input=0, args=(), kwargs={'device': "'xpu:0'", 'dtype': 'torch.float8_e4m3fnuz', 'requires_grad': 'False'}, broadcasts_input=False, name='') 

Triage bot response:

{
  "similar_issue_id": "233",
  "similar_issue_state": "closed",
  "issue_owner": "guangyey",
  "issue_description": "Failures in test_ops::TestCompositeCompliance related to test failures and feature support in torch-xpu-ops, with issues in tensor operations and memory management.",
  "root_causes": [
    "Missing implementation of 'where' operation for Float8_e4m3fnuz dtype on XPU.",
    "Incomplete support for new data types in XPU backend operations."
  ],
  "suggested_solutions": [
    "Implement the 'where' operation for Float8_e4m3fnuz dtype in the XPU backend.",
    "Ensure proper stubbing and operation implementation for new data types in the DispatchStub."
  ]
}