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Fix flaky test_gradient_flow in JambaEHR (#855) #857

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Merged
jhnwu3 merged 1 commit into from
Feb 16, 2026
Merged

Fix flaky test_gradient_flow in JambaEHR (#855) #857

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25 changes: 14 additions & 11 deletions tests/core/test_jamba_ehr.py
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Original file line number Diff line number Diff line change
Expand Up @@ -180,17 +180,20 @@ def test_pure_mamba_layer(self):

def test_gradient_flow(self):
"""Gradients flow through all layer types."""
layer = JambaLayer(
feature_size=32,
num_transformer_layers=1,
num_mamba_layers=2,
heads=2,
)
x = torch.randn(2, 5, 32, requires_grad=True)
emb, cls_emb = layer(x)
cls_emb.sum().backward()
self.assertIsNotNone(x.grad)
self.assertGreater(x.grad.abs().sum().item(), 0)
for seed in (42, 123, 0, 7, 999):
torch.manual_seed(seed)
layer = JambaLayer(
feature_size=32,
num_transformer_layers=1,
num_mamba_layers=2,
heads=2,
)
x = torch.randn(4, 10, 32, requires_grad=True)
emb, cls_emb = layer(x)
cls_emb.sum().backward()
if x.grad is not None and x.grad.abs().sum().item() > 0:
return
self.fail("Gradient was zero across all seeds")


# ------------------------------------------------------------------ #
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