Related Issues (20)
- gpu_hlo_cost_analysis NumOfDevices always return 0 HOT 2
- [Feature Request]Add more comm op support on gpu_hlo_cost_analysis HOT 4
- gpu f16 cast to fp32 calculation, and then converted back? HOT 1
- "Could not find executable `nvidia-smi`" for `./configure.py --backend=CUDA` HOT 6
- Build from source fails HOT 7
- XLA documentation for Windows HOT 1
- Implement GitHub Presubmit Checks for Windows Environment HOT 1
- Support builds with cuDNN 9
- gpu_fused_mha_test fails at HEAD on H100 HOT 1
- Workable example on normal DNN model
- OpenCL Support. HOT 2
- BF16 matmul slower than F32 matmul on T4 GPU HOT 3
- PJRT `CopyCpuBufferToLiteral` of JAX buffer taking too long HOT 9
- Porting XLA to different backends. HOT 4
- Compiling xla/mlir/tools/mlir_interpreter/dialects/util.cc failed HOT 3
- MHLO Extraction from XLA Compiler HOT 4
- Controlling a single compiler pass in XLA for CPU target HOT 2
- Compiling scatter results in very slow while-loop on TPU
- Wrong output from JAX test after onednn change HOT 4
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