[Pallas] Uable to convert negative values from float16/float32 to int8/int32 in pallas

[shangz-ai]

Description

Hello,
I'm encountering an issue that when converting negative float16 values to int8 in pallas kernel, the conversion will fall incorrectly to zero value instead of a negative int8 value.
Similarly I observed from float32 to int32.
Is that a known issue for pallas? or I'm missing out something?
Attaching the small reproducer.

I'm seeing that

===a_int===
[-4 -3 -2 -1  0  1  2  3]
===convert_from_int===
[-4 -3 -2 -1  0  1  2  3]
==================
===a_half===
[-4. -3. -2. -1.  0.  1.  2.  3.]
===convert_from_half===
[0 0 0 0 0 1 2 3]
==================

which doesn't make sense to me.

Thanks!

System info (python version, jaxlib version, accelerator, etc.)

from functools import partial
import jax
from jax.experimental import pallas as pl
import jax.numpy as jnp

def read_convert_kernel(x_ref, o_ref):
  x = x_ref[...]
  o_ref[...] = x.astype(o_ref.dtype)

@partial(jax.jit,static_argnames='out_type')
def read_convert(x: jax.Array, out_type) -> jax.Array:
  return pl.pallas_call(read_convert_kernel,
                        out_shape=jax.ShapeDtypeStruct(x.shape, out_type)
                        )(x)

a_half = jnp.arange(8, dtype=jnp.float16)-4
a_int = jnp.arange(8, dtype=jnp.int8)-4
out_from_int = read_convert(a_int, out_type=jnp.int8)
out_from_half = read_convert(a_half, out_type=jnp.int8)

print("===a_int===")
print(a_int)
print("===convert_from_int===")
print(out_from_int)
print("==================")

print("===a_half===")
print(a_half)
print("===convert_from_half===")
print(out_from_half)
print("==================")