Comments (1)
Right now, Inductor doesn't support mps.
from pytorch.
Related Issues (20)
- AOTAutograd: the partitioner should not move mutations from the backward into the forward. HOT 1
- Nightly s390 manywheel-py3_8-cpu-s390x-build is failing HOT 4
- [export] Cannot mutate tensors with frozen storage HOT 1
- AOTAutograd: allow input mutations in the bw that occur under no_grad
- Equivalent index expression results in 50% perf difference in a triton kernel HOT 16
- pip install torch==2.1.0 fails to be found HOT 3
- The data was supposed to be on the GPU, but was mistakenly placed on the CPU. HOT 2
- RuntimeError: CUDA error: an illegal memory access was encountered with specific input shape and Conv1d HOT 3
- ` to be a quantized tensor. Is this likely due to missing support for quantized `onnx::Pad`
- Error in gradient of CTCLoss
- [Bug] Data on CPUs Are Not Synchronized Before Subsequent Operations HOT 4
- TORCH_LIBRARY breaks when passing (unexpanded) macro as namespace argument HOT 1
- custom_op API: better type anntation for Tuple
- Segfault, possibly due to recursion limit
- Fix accuracy regression for cspdarknet53 or flakiness associated with cu121 (and potentially cu124) HOT 1
- dynamo minifier test test_cpu_cuda_module_after_dynamo fail with nn module inlining. HOT 1
- SyntaxError: unterminated string literal (detected at line 1) (<unknown>, line 1) HOT 15
- c++ library written with a lot of errors
- [export] Errors out when unflattening TorchTitan HOT 1
- OneCycleLR Example
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from pytorch.