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552 Open 1,280 Closed
552 Open 1,280 Closed
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Convert_element_type fails at converting floating point numbers to unsigned integers bug
#5082 opened Dec 2, 2020 by bchetioui
@jakevdp
1
Switch default PRNG to ThreeFry4x32 enhancement
#5081 opened Dec 2, 2020 by hawkinsp
3
RuntimeError: CUDA operation failed: cudaGetErrorString symbol not found
#5080 opened Dec 2, 2020 by kventinel
jax.scipy.special.multigammaln fails under jit
#5073 opened Dec 1, 2020 by jakevdp
Need help understanding memory usage (CPU backend)
#5071 opened Dec 1, 2020 by swertz
15
soft_pmap requests way too much memory
#5070 opened Dec 1, 2020 by Joshuaalbert
3
Tensorboard profiling fails with jax
#5069 opened Dec 1, 2020 by tomweingarten
Test Failures - RTX 3090, Cuda 11.1, Cudnn 8.0.5, AMD 5900X
#5067 opened Dec 1, 2020 by tomweingarten
5
strange hanging behaviour with pmap
#5065 opened Dec 1, 2020 by Joshuaalbert
1
Add custom JVP rule for jnp.sinc bug
#5054 opened Nov 30, 2020 by jakevdp
1
@mattjj
Named tensors enhancement
#5048 opened Nov 30, 2020 by JuliusKunze
@jekbradbury
Improve __str__/__repr__ of PyTreeDefs enhancement
#5047 opened Nov 30, 2020 by j-towns
3
[regression] Pickling a jitted function with cloudpickle enhancement
#5043 opened Nov 30, 2020 by KristianHolsheimer
3
jax.numpy.polyval coeffitients format question
#5040 opened Nov 29, 2020 by PgLoLo
1
Best practice to handle division by zero in auto-differentiation question
#5039 opened Nov 29, 2020 by gnool
@jakevdp
9
(Batched) Matrix Operations are much slower on GPU contributions welcome enhancement
#5023 opened Nov 27, 2020 by ssydasheng
6
JAX running in CPU only mode only uses a single core
#5022 opened Nov 26, 2020 by JossWhittle
revise vmap docs to specify `in_axes=None` on its own is not valid documentation
#5021 opened Nov 25, 2020 by mattjj
Masking + Jit to deal with dynamic/variable shape arrays?
#5013 opened Nov 25, 2020 by LysSanzMoreta
1
Add support for more padding modes in jax.numpy.pad contributions welcome good first issue
#5010 opened Nov 24, 2020 by jakevdp
Add support for `prepend` and `append` in jax.numpy.diff contributions welcome good first issue
#5009 opened Nov 24, 2020 by jakevdp
2
Gradients with `odeint` slow on GPU
#5006 opened Nov 24, 2020 by spenrich
1
Working with data of different lengths using automasking question
#5000 opened Nov 23, 2020 by noashin
@mattjj
1
Help with Jax, specifically complex differentiation! question
#4996 opened Nov 23, 2020 by hamza11235
@mattjj
7
Scanning over reduction rather than reducing over scan is a powerful optimisation - but hard to implement
#4968 opened Nov 19, 2020 by SamPruden
8
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