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Update python API of activation, topk, norm and rope and remove vllm dependency (#6614)

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Co-authored-by: Wu, Chunyuan <chunyuan.wu@intel.com>
Co-authored-by: jianan-gu <jianan.gu@intel.com>
Co-authored-by: sdp <sdp@gnr799219.jf.intel.com>
This commit is contained in:
YanbingJiang
2025-06-18 13:11:50 +08:00
committed by GitHub
parent e56685ac1b
commit 094c116f7d
23 changed files with 270 additions and 56 deletions
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8
test/srt/cpu/test_norm.py
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@@ -47,7 +47,7 @@ class TestNorm(CustomTestCase):
ref_out = self._forward_native(x, weight, variance_epsilon)
atol = rtol = precision[ref_out.dtype]
self.assertTrue(torch.allclose(ref_out, out, atol=atol, rtol=rtol))
torch.testing.assert_close(ref_out, out, atol=atol, rtol=rtol)
ref_x = x.clone()
residual = torch.randn([m, hidden_size], dtype=dtype)
@@ -61,8 +61,8 @@ class TestNorm(CustomTestCase):
ref_x, weight, variance_epsilon, ref_residual
)
self.assertTrue(torch.allclose(x, ref_x, atol=atol, rtol=rtol))
self.assertTrue(torch.allclose(residual, ref_residual, atol=atol, rtol=rtol))
torch.testing.assert_close(x, ref_x, atol=atol, rtol=rtol)
torch.testing.assert_close(residual, ref_residual, atol=atol, rtol=rtol)
def _l2norm_test(self, m, n, dtype):
@@ -75,7 +75,7 @@ class TestNorm(CustomTestCase):
ref_out = self._forward_native(x, fake_ones_weight, variance_epsilon)
atol = rtol = precision[ref_out.dtype]
self.assertTrue(torch.allclose(ref_out, out, atol=atol, rtol=rtol))
torch.testing.assert_close(ref_out, out, atol=atol, rtol=rtol)
def test_norm(self):
for params in itertools.product(self.M, self.N, self.dtype):