🐛 Describe the bug

Cases:
op_ut,third_party.torch-xpu-ops.test.xpu.test_ops_xpu.TestCommonXPU,test_out_cholesky_xpu_float32
op_ut,third_party.torch-xpu-ops.test.xpu.test_ops_xpu.TestCommonXPU,test_out_histogramdd_xpu_float32
op_ut,third_party.torch-xpu-ops.test.xpu.test_ops_xpu.TestCommonXPU,test_out_warning_cholesky_inverse_xpu
op_ut,third_party.torch-xpu-ops.test.xpu.test_ops_xpu.TestCommonXPU,test_out_warning_cholesky_xpu
op_ut,third_party.torch-xpu-ops.test.xpu.test_ops_xpu.TestCommonXPU,test_out_warning_geqrf_xpu
op_ut,third_party.torch-xpu-ops.test.xpu.test_ops_xpu.TestCommonXPU,test_out_warning_histogramdd_xpu
op_ut,third_party.torch-xpu-ops.test.xpu.test_ops_xpu.TestCommonXPU,test_out_warning_ormqr_xpu
op_ut,third_party.torch-xpu-ops.test.xpu.test_ops_xpu.TestCommonXPU,test_variant_consistency_eager_histogramdd_xpu_float32
op_ut,third_party.torch-xpu-ops.test.xpu.test_ops_xpu.TestCommonXPU,test_multiple_devices_histogramdd_xpu_float32
op_ut,third_party.torch-xpu-ops.test.xpu.test_ops_xpu.TestCommonXPU,test_noncontiguous_samples_histogramdd_xpu_float32

| op_ut | third_party.torch-xpu-ops.test.xpu.test_ops_xpu.TestCommonXPU | test_out_cholesky_xpu_float32 | failed | NotImplementedError: The operator 'aten::cholesky.out' is not currently implemented for the XPU device. Please open a feature on https://github.com/intel/torch-xpu-ops/issues. You can set the environment variable PYTORCH_ENABLE_XPU_FALLBACK=1 to use the CPU implementation as a fallback for XPU unimplemented operators. WARNING: this will bring unexpected performance compared with running natively on XPU. ; Exception: The operator 'aten::cholesky.out' is not currently implemented for the XPU device. Please open a feature on https://github.com/intel/torch-xpu-ops/issues. You can set the environment variable PYTORCH_ENABLE_XPU_FALLBACK=1 to use the CPU implementation as a fallback for XPU unimplemented operators. WARNING: this will bring unexpected performance compared with running natively on XPU. | XML |
| op_ut | third_party.torch-xpu-ops.test.xpu.test_ops_xpu.TestCommonXPU | test_out_histogramdd_xpu_float32 | failed | NotImplementedError: The operator 'aten::_histogramdd_bin_edges' is not currently implemented for the XPU device. Please open a feature on https://github.com/intel/torch-xpu-ops/issues. You can set the environment variable PYTORCH_ENABLE_XPU_FALLBACK=1 to use the CPU implementation as a fallback for XPU unimplemented operators. WARNING: this will bring unexpected performance compared with running natively on XPU. ; Exception: The operator 'aten::_histogramdd_bin_edges' is not currently implemented for the XPU device. Please open a feature on https://github.com/intel/torch-xpu-ops/issues. You can set the environment variable PYTORCH_ENABLE_XPU_FALLBACK=1 to use the CPU implementation as a fallback for XPU unimplemented operators. WARNING: this will bring unexpected performance compared with running natively on XPU. | XML |
| op_ut | third_party.torch-xpu-ops.test.xpu.test_ops_xpu.TestCommonXPU | test_out_warning_cholesky_inverse_xpu | failed | NotImplementedError: The operator 'aten::cholesky_inverse.out' is not currently implemented for the XPU device. Please open a feature on https://github.com/intel/torch-xpu-ops/issues. You can set the environment variable PYTORCH_ENABLE_XPU_FALLBACK=1 to use the CPU implementation as a fallback for XPU unimplemented operators. WARNING: this will bring unexpected performance compared with running natively on XPU. ; Exception: The operator 'aten::cholesky_inverse.out' is not currently implemented for the XPU device. Please open a feature on https://github.com/intel/torch-xpu-ops/issues. You can set the environment variable PYTORCH_ENABLE_XPU_FALLBACK=1 to use the CPU implementation as a fallback for XPU unimplemented operators. WARNING: this will bring unexpected performance compared with running natively on XPU. | XML |
| op_ut | third_party.torch-xpu-ops.test.xpu.test_ops_xpu.TestCommonXPU | test_out_warning_cholesky_xpu | failed | NotImplementedError: The operator 'aten::cholesky.out' is not currently implemented for the XPU device. Please open a feature on https://github.com/intel/torch-xpu-ops/issues. You can set the environment variable PYTORCH_ENABLE_XPU_FALLBACK=1 to use the CPU implementation as a fallback for XPU unimplemented operators. WARNING: this will bring unexpected performance compared with running natively on XPU. ; Exception: The operator 'aten::cholesky.out' is not currently implemented for the XPU device. Please open a feature on https://github.com/intel/torch-xpu-ops/issues. You can set the environment variable PYTORCH_ENABLE_XPU_FALLBACK=1 to use the CPU implementation as a fallback for XPU unimplemented operators. WARNING: this will bring unexpected performance compared with running natively on XPU. | XML |
| op_ut | third_party.torch-xpu-ops.test.xpu.test_ops_xpu.TestCommonXPU | test_out_warning_geqrf_xpu | failed | NotImplementedError: The operator 'aten::geqrf.a' is not currently implemented for the XPU device. Please open a feature on https://github.com/intel/torch-xpu-ops/issues. You can set the environment variable PYTORCH_ENABLE_XPU_FALLBACK=1 to use the CPU implementation as a fallback for XPU unimplemented operators. WARNING: this will bring unexpected performance compared with running natively on XPU. ; Exception: The operator 'aten::geqrf.a' is not currently implemented for the XPU device. Please open a feature on https://github.com/intel/torch-xpu-ops/issues. You can set the environment variable PYTORCH_ENABLE_XPU_FALLBACK=1 to use the CPU implementation as a fallback for XPU unimplemented operators. WARNING: this will bring unexpected performance compared with running natively on XPU. | XML |
| op_ut | third_party.torch-xpu-ops.test.xpu.test_ops_xpu.TestCommonXPU | test_out_warning_histogramdd_xpu | failed | NotImplementedError: The operator 'aten::_histogramdd_bin_edges' is not currently implemented for the XPU device. Please open a feature on https://github.com/intel/torch-xpu-ops/issues. You can set the environment variable PYTORCH_ENABLE_XPU_FALLBACK=1 to use the CPU implementation as a fallback for XPU unimplemented operators. WARNING: this will bring unexpected performance compared with running natively on XPU. ; Exception: The operator 'aten::_histogramdd_bin_edges' is not currently implemented for the XPU device. Please open a feature on https://github.com/intel/torch-xpu-ops/issues. You can set the environment variable PYTORCH_ENABLE_XPU_FALLBACK=1 to use the CPU implementation as a fallback for XPU unimplemented operators. WARNING: this will bring unexpected performance compared with running natively on XPU. | XML |
| op_ut | third_party.torch-xpu-ops.test.xpu.test_ops_xpu.TestCommonXPU | test_out_warning_ormqr_xpu | failed | NotImplementedError: The operator 'aten::ormqr.out' is not currently implemented for the XPU device. Please open a feature on https://github.com/intel/torch-xpu-ops/issues. You can set the environment variable PYTORCH_ENABLE_XPU_FALLBACK=1 to use the CPU implementation as a fallback for XPU unimplemented operators. WARNING: this will bring unexpected performance compared with running natively on XPU. ; Exception: The operator 'aten::ormqr.out' is not currently implemented for the XPU device. Please open a feature on https://github.com/intel/torch-xpu-ops/issues. You can set the environment variable PYTORCH_ENABLE_XPU_FALLBACK=1 to use the CPU implementation as a fallback for XPU unimplemented operators. WARNING: this will bring unexpected performance compared with running natively on XPU. | XML |
| op_ut | third_party.torch-xpu-ops.test.xpu.test_ops_xpu.TestCommonXPU | test_variant_consistency_eager_histogramdd_xpu_float32 | failed | NotImplementedError: The operator 'aten::_histogramdd_bin_edges' is not currently implemented for the XPU device. Please open a feature on https://github.com/intel/torch-xpu-ops/issues. You can set the environment variable PYTORCH_ENABLE_XPU_FALLBACK=1 to use the CPU implementation as a fallback for XPU unimplemented operators. WARNING: this will bring unexpected performance compared with running natively on XPU. ; Exception: The operator 'aten::_histogramdd_bin_edges' is not currently implemented for the XPU device. Please open a feature on https://github.com/intel/torch-xpu-ops/issues. You can set the environment variable PYTORCH_ENABLE_XPU_FALLBACK=1 to use the CPU implementation as a fallback for XPU unimplemented operators. WARNING: this will bring unexpected performance compared with running natively on XPU. | XML |
| op_ut | third_party.torch-xpu-ops.test.xpu.test_ops_xpu.TestCommonXPU | test_multiple_devices_histogramdd_xpu_float32 | failed | NotImplementedError: The operator 'aten::_histogramdd_bin_edges' is not currently implemented for the XPU device. Please open a feature on https://github.com/intel/torch-xpu-ops/issues. You can set the environment variable PYTORCH_ENABLE_XPU_FALLBACK=1 to use the CPU implementation as a fallback for XPU unimplemented operators. WARNING: this will bring unexpected performance compared with running natively on XPU. ; Exception: The operator 'aten::_histogramdd_bin_edges' is not currently implemented for the XPU device. Please open a feature on https://github.com/intel/torch-xpu-ops/issues. You can set the environment variable PYTORCH_ENABLE_XPU_FALLBACK=1 to use the CPU implementation as a fallback for XPU unimplemented operators. WARNING: this will bring unexpected performance compared with running natively on XPU. | XML |
| op_ut | third_party.torch-xpu-ops.test.xpu.test_ops_xpu.TestCommonXPU | test_noncontiguous_samples_histogramdd_xpu_float32 | failed | NotImplementedError: The operator 'aten::_histogramdd_bin_edges' is not currently implemented for the XPU device. Please open a feature on https://github.com/intel/torch-xpu-ops/issues. You can set the environment variable PYTORCH_ENABLE_XPU_FALLBACK=1 to use the CPU implementation as a fallback for XPU unimplemented operators. WARNING: this will bring unexpected performance compared with running natively on XPU. ; Exception: The operator 'aten::_histogramdd_bin_edges' is not currently implemented for the XPU device. Please open a feature on https://github.com/intel/torch-xpu-ops/issues. You can set the environment variable PYTORCH_ENABLE_XPU_FALLBACK=1 to use the CPU implementation as a fallback for XPU unimplemented operators. WARNING: this will bring unexpected performance compared with running natively on XPU. | XML |

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