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41 changes: 41 additions & 0 deletions tests/pallas/tpu_sparsecore_pallas_test.py
Original file line number Diff line number Diff line change
Expand Up @@ -1437,6 +1437,47 @@ def kernel(in_ref, o_ref, scratch_ref):

np.testing.assert_array_equal(f(x), x)

def test_vector_mod(self):
"""Test a compiler failure case."""
if not jtu.if_cloud_tpu_at_least(2025, 11, 6):
self.skipTest("Needs a newer libtpu")
n = 32
vec_dim = self.sc_info.num_lanes

@plsc.kernel(
out_shape=jax.ShapeDtypeStruct((n,), jnp.int32),
mesh=plsc.VectorSubcoreMesh(
core_axis_name="core", subcore_axis_name="subcore", num_cores=1),
scratch_shapes=(
pltpu.VMEM((vec_dim,), np.int32),
pltpu.VMEM((n,), np.int32),
pltpu.VMEM((n,), np.int32),
pltpu.VMEM((4, n), np.int32),
),
)
def _kernel(my_shard_id_ref, arg_ref, o_ref,
my_shard_id_vmem, arg_vmem, counts, values):
@pl.when(jax.lax.axis_index("subcore") == 0)
def _():
pltpu.sync_copy(my_shard_id_ref.at[:1], my_shard_id_vmem.at[:1])
pltpu.sync_copy(arg_ref, arg_vmem)
my_shard_id = my_shard_id_vmem[...][0]
@plsc.parallel_loop(0, n, vec_dim)
def zero_out(i):
counts[pl.ds(i, vec_dim)] = jnp.ones(vec_dim, np.int32) * 3
for k in range(3):
values[k, pl.ds(i, vec_dim)] = k + (i + jnp.arange(vec_dim)) * 3
@plsc.parallel_loop(0, n, vec_dim)
def compute_outputs(i):
num_replicas = counts[pl.ds(i, vec_dim)].view(jnp.uint32)
indices = (my_shard_id.view(np.uint32) % num_replicas).view(np.int32)
arg_vmem[pl.ds(i, vec_dim)] = plsc.load_gather(
values, [indices, i + jnp.arange(vec_dim)])
pltpu.sync_copy(arg_vmem.at[pl.ds(0, n)], o_ref)

actual = _kernel(jnp.ones(vec_dim, jnp.int32), jnp.arange(n))
np.testing.assert_array_equal(actual, jnp.arange(n) * 3 + 1)


class ScalarSubcoreTest(PallasSCTest):

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