Related Issues (20)
- Inductor fails at assert self.symbol_to_source.get(expr) HOT 1
- Add option for custom ops to automatically get a FakeTensor kernel (during static shapes) HOT 1
- DISABLED test_arange2_dynamic_shapes_cuda (__main__.DynamicShapesGPUTests) HOT 1
- DISABLED test_comprehensive_fft_ifft_cuda_float64 (__main__.TestInductorOpInfoCUDA) HOT 1
- ~PyTorch Docathon H1 2024!~
- Dynamo should prune non-live captured variables
- Loading Old Checkpoints with DTensor HOT 2
- `flake8: noqa` disables flake8 linter for the whole file and it's not obvious HOT 2
- torch.export.export() throws out an error when dealing weighttying model.
- [Feature Request] switch amx isa detection in onednn to cpuinfo HOT 1
- DISABLED test_dtensor_op_db_bmm_cpu_float32 (__main__.TestDTensorOpsCPU) HOT 1
- Torch.compile produces Exception: Please convert all Tensors to FakeTensors first or instantiate
- Different tensor strides can result in surprisingly large discrepancies in Conv2d outputs HOT 1
- bad_alloc when using Conv2d after torchvision.io.read_video
- `DistillGPT2` and `GPT2ForSequenceClassification` fail to run into `_scaled_dot_product_flash_attention_for_cpu` using AOTI due to export related change in https://github.com/pytorch/pytorch/pull/123732
- Backwards pass through Beta distribution rsample gives inf for 4 < alpha - 2**16 < 1040, beta = 3/2
- torch=2.1, import torch; fails AttributeError: '_OpNamespace' 'aten' object has no attribute 'sym_constrain_range_for_size' HOT 1
- Unable to quantize resnet50 model with post training static quantization
- error: βFalseβ was not declared in this scope
- sys.maxsize special case doesn't work if you slightly offset the ranges
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