Related Issues (20)
- Inconsistent results when training a model containing SyncBatchNorm with multiple GPUs
- Unbacked SymInts: Should backwards graph with unbacked SymInts be recompiled with hints HOT 2
- DISABLED test_return_leaf_inplace (__main__.TestAutogradWithCompiledAutograd) HOT 3
- masked_fill supports PrivateUse1, when value.device.type is cpu HOT 1
- [INDUCTOR] [CPU] [GPT-FAST-MOE] large perf regression with coordinate_descent_tuning disabled HOT 2
- int4 AMD
- DISABLED test_max_autotune_cutlass_backend_mm_bias_dynamic_False_max_autotune_gemm_backends_CUTLASS (__main__.TestCutlassBackend) HOT 4
- DISABLED test_logsumexp_correctness_float32_score_mod0 (__main__.TestTemplatedSDPA) HOT 1
- DISABLED test_save_on_cpu_and_checkpoint (__main__.TestAutogradWithCompiledAutograd) HOT 4
- [dynamo] Unexpected SymBool appearing in "is_causal" inside scaled_dot_product_attention()
- Output Discrepancy between PyTorch Model and Converted ONNX Model
- `torch.distributed` hangs when using `torch.distributed.barrier` before any other communication primitives. HOT 3
- orch.onnx.errors.UnsupportedOperatorError: Exporting the operator 'aten::unflatten' to ONNX opset version 12 is not supported. HOT 1
- Compile doesn't guard on user NN module attribute HOT 1
- Add scaled_dot_product_attention "scale" argument to nn.MultiHeadAttention
- Questions about parameter initialization, especially with torch.bfloat16 precision
- DISABLED test_saved_tensor_hooks_custom_function_intermediates (__main__.TestAutogradWithCompiledAutograd) HOT 3
- Checkpointed function does not preserve `requires_grad` if output is a dataclass. HOT 2
- Foreach tests should xfail on all dtypes that are not supported
- ARC runners timeout during Docker updates HOT 13
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