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[To Evaluate] quantized op issues in test_shape_ops_xpu.py #275

Open daisyden opened 4 months ago

daisyden commented 4 months ago

šŸ› Describe the bug

____________________ TestShapeOpsXPU.test_flip_xpu_float32 _____________________
Traceback (most recent call last):
  File "/home/daisyden/miniconda3/envs/xpupatch2/lib/python3.10/unittest/case.py", line 59, in testPartExecutor
    yield
  File "/home/daisyden/miniconda3/envs/xpupatch2/lib/python3.10/unittest/case.py", line 591, in run
    self._callTestMethod(testMethod)
  File "/home/daisyden/miniconda3/envs/xpupatch2/lib/python3.10/unittest/case.py", line 549, in _callTestMethod
    method()
  File "/home/daisyden/miniconda3/envs/xpupatch2/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2756, in wrapper
    method(*args, **kwargs)
  File "/home/daisyden/miniconda3/envs/xpupatch2/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 432, in instantiated_test
    raise rte
  File "/home/daisyden/miniconda3/envs/xpupatch2/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 419, in instantiated_test
    result = test(self, **param_kwargs)
  File "/home/daisyden/workspace/skiplist/pytorch4/third_party/torch-xpu-ops/test/xpu/../../../../test/test_shape_ops.py", line 461, in test_flip
    test_flip_impl(in_tensor, dims, out_tensor)
  File "/home/daisyden/workspace/skiplist/pytorch4/third_party/torch-xpu-ops/test/xpu/../../../../test/test_shape_ops.py", line 360, in test_flip_impl
    for in_t, out_t in all_t():
  File "/home/daisyden/workspace/skiplist/pytorch4/third_party/torch-xpu-ops/test/xpu/../../../../test/test_shape_ops.py", line 356, in all_t
    qinput_t = torch.quantize_per_tensor(input_t, 0.1, 5, qdtype)
NotImplementedError: Could not run 'aten::empty_quantized' with arguments from the 'QuantizedXPU' 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::empty_quantized' is only available for these backends: [XPU, Meta, QuantizedCPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMTIA, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradMeta, AutogradNestedTensor, Tracer, AutocastCPU, AutocastXPU, AutocastCUDA, FuncTorchBatched, BatchedNestedTensor, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PreDispatch, PythonDispatcher].

XPU: registered at /home/daisyden/workspace/skiplist/pytorch4/build/aten/src/ATen/RegisterXPU.cpp:3021 [backend fallback]
Meta: registered at /home/daisyden/workspace/skiplist/pytorch4/aten/src/ATen/core/MetaFallbackKernel.cpp:23 [backend fallback]
QuantizedCPU: registered at /home/daisyden/workspace/skiplist/pytorch4/build/aten/src/ATen/RegisterQuantizedCPU.cpp:951 [kernel]
BackendSelect: registered at /home/daisyden/workspace/skiplist/pytorch4/build/aten/src/ATen/RegisterBackendSelect.cpp:815 [kernel]
Python: registered at /home/daisyden/workspace/skiplist/pytorch4/aten/src/ATen/core/PythonFallbackKernel.cpp:153 [backend fallback]
FuncTorchDynamicLayerBackMode: registered at /home/daisyden/workspace/skiplist/pytorch4/aten/src/ATen/functorch/DynamicLayer.cpp:497 [backend fallback]
Functionalize: registered at /home/daisyden/workspace/skiplist/pytorch4/aten/src/ATen/FunctionalizeFallbackKernel.cpp:349 [backend fallback]
Named: registered at /home/daisyden/workspace/skiplist/pytorch4/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback]
Conjugate: registered at /home/daisyden/workspace/skiplist/pytorch4/aten/src/ATen/ConjugateFallback.cpp:17 [backend fallback]
Negative: registered at /home/daisyden/workspace/skiplist/pytorch4/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback]
ZeroTensor: registered at /home/daisyden/workspace/skiplist/pytorch4/aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback]
ADInplaceOrView: fallthrough registered at /home/daisyden/workspace/skiplist/pytorch4/aten/src/ATen/core/VariableFallbackKernel.cpp:86 [backend fallback]
AutogradOther: registered at /home/daisyden/workspace/skiplist/pytorch4/torch/csrc/autograd/generated/VariableType_2.cpp:19857 [autograd kernel]
AutogradCPU: registered at /home/daisyden/workspace/skiplist/pytorch4/torch/csrc/autograd/generated/VariableType_2.cpp:19857 [autograd kernel]
AutogradCUDA: registered at /home/daisyden/workspace/skiplist/pytorch4/torch/csrc/autograd/generated/VariableType_2.cpp:19857 [autograd kernel]
AutogradHIP: registered at /home/daisyden/workspace/skiplist/pytorch4/torch/csrc/autograd/generated/VariableType_2.cpp:19857 [autograd kernel]
AutogradXLA: registered at /home/daisyden/workspace/skiplist/pytorch4/torch/csrc/autograd/generated/VariableType_2.cpp:19857 [autograd kernel]
AutogradMPS: registered at /home/daisyden/workspace/skiplist/pytorch4/torch/csrc/autograd/generated/VariableType_2.cpp:19857 [autograd kernel]
AutogradIPU: registered at /home/daisyden/workspace/skiplist/pytorch4/torch/csrc/autograd/generated/VariableType_2.cpp:19857 [autograd kernel]
AutogradXPU: registered at /home/daisyden/workspace/skiplist/pytorch4/torch/csrc/autograd/generated/VariableType_2.cpp:19857 [autograd kernel]
AutogradHPU: registered at /home/daisyden/workspace/skiplist/pytorch4/torch/csrc/autograd/generated/VariableType_2.cpp:19857 [autograd kernel]
AutogradVE: registered at /home/daisyden/workspace/skiplist/pytorch4/torch/csrc/autograd/generated/VariableType_2.cpp:19857 [autograd kernel]
AutogradLazy: registered at /home/daisyden/workspace/skiplist/pytorch4/torch/csrc/autograd/generated/VariableType_2.cpp:19857 [autograd kernel]
AutogradMTIA: registered at /home/daisyden/workspace/skiplist/pytorch4/torch/csrc/autograd/generated/VariableType_2.cpp:19857 [autograd kernel]
AutogradPrivateUse1: registered at /home/daisyden/workspace/skiplist/pytorch4/torch/csrc/autograd/generated/VariableType_2.cpp:19857 [autograd kernel]
AutogradPrivateUse2: registered at /home/daisyden/workspace/skiplist/pytorch4/torch/csrc/autograd/generated/VariableType_2.cpp:19857 [autograd kernel]
AutogradPrivateUse3: registered at /home/daisyden/workspace/skiplist/pytorch4/torch/csrc/autograd/generated/VariableType_2.cpp:19857 [autograd kernel]
AutogradMeta: registered at /home/daisyden/workspace/skiplist/pytorch4/torch/csrc/autograd/generated/VariableType_2.cpp:19857 [autograd kernel]
AutogradNestedTensor: registered at /home/daisyden/workspace/skiplist/pytorch4/torch/csrc/autograd/generated/VariableType_2.cpp:19857 [autograd kernel]
Tracer: registered at /home/daisyden/workspace/skiplist/pytorch4/torch/csrc/autograd/generated/TraceType_2.cpp:17622 [kernel]
AutocastCPU: fallthrough registered at /home/daisyden/workspace/skiplist/pytorch4/aten/src/ATen/autocast_mode.cpp:205 [backend fallback]
AutocastXPU: fallthrough registered at /home/daisyden/workspace/skiplist/pytorch4/aten/src/ATen/autocast_mode.cpp:347 [backend fallback]
AutocastCUDA: fallthrough registered at /home/daisyden/workspace/skiplist/pytorch4/aten/src/ATen/autocast_mode.cpp:161 [backend fallback]
FuncTorchBatched: registered at /home/daisyden/workspace/skiplist/pytorch4/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:731 [backend fallback]
BatchedNestedTensor: registered at /home/daisyden/workspace/skiplist/pytorch4/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:758 [backend fallback]
FuncTorchVmapMode: fallthrough registered at /home/daisyden/workspace/skiplist/pytorch4/aten/src/ATen/functorch/VmapModeRegistrations.cpp:27 [backend fallback]
Batched: registered at /home/daisyden/workspace/skiplist/pytorch4/aten/src/ATen/LegacyBatchingRegistrations.cpp:1075 [backend fallback]
VmapMode: fallthrough registered at /home/daisyden/workspace/skiplist/pytorch4/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback]
FuncTorchGradWrapper: registered at /home/daisyden/workspace/skiplist/pytorch4/aten/src/ATen/functorch/TensorWrapper.cpp:207 [backend fallback]
PythonTLSSnapshot: registered at /home/daisyden/workspace/skiplist/pytorch4/aten/src/ATen/core/PythonFallbackKernel.cpp:161 [backend fallback]
FuncTorchDynamicLayerFrontMode: registered at /home/daisyden/workspace/skiplist/pytorch4/aten/src/ATen/functorch/DynamicLayer.cpp:493 [backend fallback]
PreDispatch: registered at /home/daisyden/workspace/skiplist/pytorch4/aten/src/ATen/core/PythonFallbackKernel.cpp:165 [backend fallback]
PythonDispatcher: registered at /home/daisyden/workspace/skiplist/pytorch4/aten/src/ATen/core/PythonFallbackKernel.cpp:157 [backend fallback]

To execute this test, run the following from the base repo dir:
    PYTORCH_TEST_WITH_SLOW=1 python test/test_shape_ops.py -k TestShapeOpsXPU.test_flip_xpu_float32

Versions

Collecting environment information... PyTorch version: 2.4.0a0+git5fb11cd Is debug build: False CUDA used to build PyTorch: None ROCM used to build PyTorch: N/A

OS: Ubuntu 22.04.3 LTS (x86_64) GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0 Clang version: 14.0.0-1ubuntu1.1 CMake version: version 3.26.4 Libc version: glibc-2.35

Python version: 3.10.14 (main, May 6 2024, 19:42:50) [GCC 11.2.0] (64-bit runtime) Python platform: Linux-5.15.0-106-generic-x86_64-with-glibc2.35 Is CUDA available: False CUDA runtime version: No CUDA CUDA_MODULE_LOADING set to: N/A GPU models and configuration: No CUDA Nvidia driver version: No CUDA cuDNN version: No CUDA HIP runtime version: N/A MIOpen runtime version: N/A Is XNNPACK available: True

CPU: Architecture: x86_64 CPU op-mode(s): 32-bit, 64-bit Address sizes: 52 bits physical, 57 bits virtual Byte Order: Little Endian CPU(s): 224 On-line CPU(s) list: 0-223 Vendor ID: GenuineIntel Model name: Intel(R) Xeon(R) Platinum 8480+ CPU family: 6 Model: 143 Thread(s) per core: 2 Core(s) per socket: 56 Socket(s): 2 Stepping: 8 CPU max MHz: 3800.0000 CPU min MHz: 800.0000 BogoMIPS: 4000.00 Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf tsc_known_freq pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb cat_l3 cat_l2 cdp_l3 invpcid_single intel_ppin cdp_l2 ssbd mba ibrs ibpb stibp ibrs_enhanced tpr_shadow vnmi flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb intel_pt avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local split_lock_detect avx_vnni avx512_bf16 wbnoinvd dtherm ida arat pln pts hwp hwp_act_window hwp_epp hwp_pkg_req avx512vbmi umip pku ospke waitpkg avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg tme avx512_vpopcntdq la57 rdpid bus_lock_detect cldemote movdiri movdir64b enqcmd fsrm md_clear serialize tsxldtrk pconfig arch_lbr amx_bf16 avx512_fp16 amx_tile amx_int8 flush_l1d arch_capabilities Virtualization: VT-x L1d cache: 5.3 MiB (112 instances) L1i cache: 3.5 MiB (112 instances) L2 cache: 224 MiB (112 instances) L3 cache: 210 MiB (2 instances) NUMA node(s): 2 NUMA node0 CPU(s): 0-55,112-167 NUMA node1 CPU(s): 56-111,168-223 Vulnerability Gather data sampling: Not affected Vulnerability Itlb multihit: Not affected Vulnerability L1tf: Not affected Vulnerability Mds: Not affected Vulnerability Meltdown: Not affected Vulnerability Mmio stale data: Not affected Vulnerability Retbleed: Not affected Vulnerability Spec rstack overflow: Not affected Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl and seccomp Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization Vulnerability Spectre v2: Mitigation; Enhanced IBRS; IBPB conditional; RSB filling; PBRSB-eIBRS SW sequence; BHI BHI_DIS_S Vulnerability Srbds: Not affected Vulnerability Tsx async abort: Not affected

Versions of relevant libraries: [pip3] numpy==1.26.4 [pip3] optree==0.11.0 [pip3] torch==2.4.0a0+git5fb11cd [conda] mkl-include 2024.1.0 intel_691 intel [conda] mkl-static 2024.1.0 intel_691 intel [conda] numpy 1.26.4 pypi_0 pypi [conda] optree 0.11.0 pypi_0 pypi [conda] torch 2.4.0a0+git5fb11cd pypi_0 pypi

daisyden commented 3 months ago

quantized op, low priority

daisyden commented 2 months ago

modified for PT2.6