Comments (1)
Pinging @sharadmv who will know best.
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Related Issues (20)
- CuDNN Initialization Error with Pre-existing CUDA Environment Fails with HOT 5
- Pallas TPU reduce kernel generalization gives wrong numerical results? HOT 3
- Passing `DeviceLocalLayout` to `jax.jit` causes incorrect outputs on GPU
- Precision of jnp.linalg.solve HOT 3
- JAX segment_sum is two times slower for FP16 inputs than FP32 inputs HOT 10
- jax library error jaxlib.xla_extension.XlaRuntimeError: FAILED_PRECONDITION: DNN library initialization failed HOT 3
- arctan2 and atan2 argument names are misleading HOT 3
- Jax Einsum Implementation Error HOT 1
- jaxlib.xla_extension.XlaRuntimeError: FAILED_PRECONDITION: DNN library initialization failed. HOT 2
- Improve support for using JAX's custom LAPACK calls externally HOT 2
- `erf_inv` not supported in Pallas GPU
- Unsupported conversion from f64 to f16 in pallas despite not using fp16 HOT 1
- Pallas kernel crash at `llo::CouldLtS32` when `interpret=False` on TPU HOT 3
- [Pallas GPU] `jnp.abs()` gives the wrong result HOT 1
- Rotation.concatenate does not work for two single rotations HOT 1
- Setting `JAX_PLATFORMS=cpu` has no effect. HOT 6
- Guard against unintentional transfers to CPU HOT 2
- JITing loss function causes erroneous results
- `jax.nn.dot_product_attention(...implementation='cudnn')` throws error `libnvrtc.so.12` not found
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