Comments (4)
Related Issues (20)
- Pallas jax.lax.fori_loop over long inputs slows down HOT 1
- ⚠️ Nightly upstream-dev CI failed ⚠️ HOT 1
- Composing `functools.partial` and `jax.vmap` HOT 2
- jax.numpy.insert returning incorrect results wen jitted on Metal HOT 1
- sum(keepdims=True) should work in pallas
- "pure_callback" is not exported from module "jax" HOT 4
- Unexpected dtype returned from jnp.outer with mixed inputs dtypes HOT 1
- Adding `tree_util.stack_leaves()` and `tree_util.unstack_leaves()` HOT 5
- Metal : fp64 operations with jax.numpy base functions not supported HOT 3
- Performance Issue Report: JAX Slower Than Autograd on GPU and CPU Setups HOT 4
- Counterintuitive speed of einsums vs equivalent matmuls HOT 5
- amd-smi import error with rocm 6.1 + rocm/jax:latest image HOT 2
- scipy.linalg.tril and .triu changed to sparse HOT 1
- Sharding is much slower than pmap for while loops of varying length while loops HOT 4
- ⚠️ Nightly upstream-dev CI failed ⚠️ HOT 1
- jnp.fft.ifft imprecision for GPU
- psum_scatter does not allow scatter_dimension to be negative HOT 3
- jax.random seems to have unnecessary buffer allocations on stack HOT 6
- buggy interaction: remat, automatic partitioning, and unsafe `rbg`-based RNGs
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