76 lines
2.6 KiB
Python
76 lines
2.6 KiB
Python
import itertools
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import pytest
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import torch
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from sglang.kernels.ops.elementwise.elementwise import fused_gate_sigmoid_mul_add
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from sglang.srt.utils import get_device
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DTYPES = [torch.float16, torch.bfloat16]
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TOKEN_COUNTS = [1, 2, 4, 8, 16, 64, 512, 1024, 2048, 4096, 8192]
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HIDDEN_DIMS = [2048, 3072, 4096, 6144]
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DEVICE = get_device()
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def _reference(hidden_states, gate_weight, shared_output, final_hidden_states):
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gate = hidden_states @ gate_weight
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final_hidden_states += torch.sigmoid(gate).unsqueeze(1) * shared_output
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@pytest.fixture(autouse=True)
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def seed():
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torch.manual_seed(42)
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@pytest.mark.parametrize(
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"num_tokens, hidden_dim, dtype",
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list(itertools.product(TOKEN_COUNTS, HIDDEN_DIMS, DTYPES)),
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)
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def test_correctness(num_tokens, hidden_dim, dtype):
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rtol, atol = (2e-2, 2e-2) if dtype == torch.bfloat16 else (1e-2, 1e-2)
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hidden_states = torch.randn(num_tokens, hidden_dim, dtype=dtype, device=DEVICE)
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gate_weight = torch.randn(hidden_dim, dtype=dtype, device=DEVICE)
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shared_output = torch.randn(num_tokens, hidden_dim, dtype=dtype, device=DEVICE)
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final_ref = torch.randn(num_tokens, hidden_dim, dtype=dtype, device=DEVICE)
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final_test = final_ref.clone()
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_reference(hidden_states, gate_weight, shared_output, final_ref)
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fused_gate_sigmoid_mul_add(hidden_states, gate_weight, shared_output, final_test)
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torch.testing.assert_close(final_test, final_ref, rtol=rtol, atol=atol)
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@pytest.mark.parametrize("dtype", DTYPES)
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def test_gate_near_zero(dtype):
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num_tokens, hidden_dim = 16, 2048
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hs = torch.randn(num_tokens, hidden_dim, dtype=dtype, device=DEVICE)
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gw = torch.zeros(hidden_dim, dtype=dtype, device=DEVICE)
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so = torch.randn(num_tokens, hidden_dim, dtype=dtype, device=DEVICE)
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f_ref = torch.randn(num_tokens, hidden_dim, dtype=dtype, device=DEVICE)
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f_test = f_ref.clone()
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_reference(hs, gw, so, f_ref)
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fused_gate_sigmoid_mul_add(hs, gw, so, f_test)
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torch.testing.assert_close(f_test, f_ref, rtol=1e-2, atol=1e-2)
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def test_inplace_semantics():
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num_tokens, hidden_dim = 32, 2048
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hs = torch.randn(num_tokens, hidden_dim, dtype=torch.float16, device=DEVICE)
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gw = torch.randn(hidden_dim, dtype=torch.float16, device=DEVICE)
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so = torch.randn(num_tokens, hidden_dim, dtype=torch.float16, device=DEVICE)
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fhs = torch.randn(num_tokens, hidden_dim, dtype=torch.float16, device=DEVICE)
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original_ptr = fhs.data_ptr()
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fused_gate_sigmoid_mul_add(hs, gw, so, fhs)
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assert fhs.data_ptr() == original_ptr
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if __name__ == "__main__":
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import sys
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sys.exit(pytest.main([__file__, "-v"]))
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