Comments (1)
This sounds strange. Do you have a code example?
from jax.
Related Issues (20)
- ValueError: Apply must be called with an RNG as the third argument, the required signature is: `apply(params, state, rng, *a, **k)`. The object was of type <class 'jax._src.interpreters.partial_eval.DynamicJaxprTracer'>: Traced<ShapedArray(uint32[2])>with<DynamicJaxprTrace(level=1/0) HOT 5
- Cannot export with certain symbolic args constraints HOT 1
- Provide a dummy ```jax.key(...)``` that allows splitting, but not sampling HOT 3
- TPU operations don't appear if profile is too long
- Multi-process GPU jobs fail on Slurm HOT 6
- Error exporting np.where when unrelated dimension variable is 0 HOT 9
- Operator `jax.lax.gather` consumes a lot of memory on CPU HOT 6
- Force a physical axis layout rearrangement HOT 3
- jax.debug.print() fails when passing value formatting (which docs say is supported) HOT 1
- vmap(SPMD axis)/shmap/(vmap with capture) pattern breaks batching HOT 1
- Capture of small arrays causes JIT execution 10x longer HOT 5
- Jax numpy reduceat function throws error HOT 4
- Pallas flash attention fails on GPU HOT 2
- ⚠️ Nightly upstream-dev CI failed ⚠️ HOT 2
- debug.pring doesn't work
- Always breaks compilation HOT 2
- [Pallas GPU] The behavior of `jnp.sign(jnp.nan)` in Pallas GPU does not match that of JAX
- [ROCM] x64 mode crashes with "redzone_checker with block dimensions: 1024x1x1: hipError_t" HOT 5
- [Pallas] Array indexing error when dimension size is not a multiple of stride
- add support for QR decomposition gradient calculation for wide matrices (rows < columns)
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from jax.