Comments (2)
The 3 failed test cases are known issues. Thanks to record here. I will mark it as bu.
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We switched the underhood device to CPU. The issue has gone.
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Related Issues (20)
- Why not use oneDNN? HOT 3
- CPU memory leak during inference on Arc A770 HOT 8
- (ipex 1.13.120+xpu) undefined symbol: _ZNK3c107SymBool10guard_boolEPKcl HOT 2
- Could not find a version that satisfies the requirement torch==2.0.1a0 HOT 1
- FFT RuntimeError: FFT_INVALID_DESCRIPTOR HOT 6
- ValueError: not enough values to unpack, when loading transformer model using bfloat16/float16 HOT 1
- IPEX 2.1.10+xpu regression with Stable Diffusion workloads that were working with IPEX 2.0.120+xpu on WSL2/Linux HOT 20
- IPEX v2.1.1+cpu crashes PyTorch for model where v1.13.100+cpu worked HOT 3
- OSError: [WinError 126] The specified module could not be found. Error loading "C:\path\to\venv\lib\site-packages\torch\lib\backend_with_compiler.dll" or one of its dependencies HOT 9
- Crash in cpu_info.py when using german locales HOT 1
- IPEX not working with Stable Diffusion Face Restoration Tools (facexlib) HOT 10
- Whisper: could not create a primitive descriptor for a concat primitive HOT 2
- Inference with inputs with sequence length increased will cause OOM HOT 1
- Local build issue. Windows lib environment variable information does not propagate throughout the build/cmake process. It fails in the compiler tests. HOT 1
- Allocation of greater than 4GB not possible HOT 2
- Nested Tensor Masks Not Supported HOT 1
- Inquiry Regarding Multi-GPU Support in Intel Extension for PyTorch HOT 4
- Install ipex main branch conda env will meet an error HOT 7
- Dead link to Installation Guide HOT 3
- torch._dynamo.exc.InvalidBackend: Invalid backend: 'ipex', see `torch._dynamo.list_backends()` for available backends. HOT 1
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