42 lines
1.4 KiB
Python
42 lines
1.4 KiB
Python
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from unittest.mock import MagicMock, patch
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import pytest
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import torch
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from vllm.config import set_current_vllm_config
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from vllm.model_executor.layers.layernorm import RMSNormGated
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from vllm_ascend._310p.ops.layernorm import AscendRMSNormGated310
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@pytest.fixture(autouse=True)
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def default_vllm_config():
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mock_config = MagicMock()
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mock_config.compilation_config.custom_ops = ["all"]
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with set_current_vllm_config(mock_config):
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yield mock_config
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def test_rmsnorm_gated_310_forward_oot_uses_forward_native():
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layer = AscendRMSNormGated310(hidden_size=8, eps=1e-5)
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x = torch.randn(2, 8, dtype=torch.float32)
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z = torch.randn(2, 8, dtype=torch.float32)
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expected = torch.randn(2, 8, dtype=torch.float32)
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with patch.object(RMSNormGated, "forward_native", autospec=True, return_value=expected) as mock_forward_native:
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out = layer.forward_oot(x, z)
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mock_forward_native.assert_called_once_with(layer, x, z)
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assert out is expected
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def test_rmsnorm_gated_310_forward_oot_uses_forward_native_without_gate():
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layer = AscendRMSNormGated310(hidden_size=8, eps=1e-5)
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x = torch.randn(2, 8, dtype=torch.float32)
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expected = torch.randn(2, 8, dtype=torch.float32)
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with patch.object(RMSNormGated, "forward_native", autospec=True, return_value=expected) as mock_forward_native:
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out = layer.forward_oot(x, None)
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mock_forward_native.assert_called_once_with(layer, x, None)
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assert out is expected
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