revert the head_dim assignment from PR 23862 (#28571)
This commit is contained in:
@@ -595,28 +595,27 @@ class ModelConfig:
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def _derive_model_shapes(self):
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def _derive_model_shapes(self):
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# Unify the config keys for hf_text_config
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# Unify the config keys for hf_text_config
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self.head_dim = getattr(self.hf_text_config, "head_dim", None)
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self.head_dim = getattr(
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if self.head_dim is None:
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self.hf_text_config,
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self.head_dim = (
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"head_dim",
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self.hf_text_config.hidden_size
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self.hf_text_config.hidden_size // self.hf_text_config.num_attention_heads,
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// self.hf_text_config.num_attention_heads
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)
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)
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self.v_head_dim = getattr(
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setattr(self.hf_text_config, "head_dim", self.head_dim)
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self.hf_text_config,
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"v_head_dim",
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self.head_dim,
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)
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self.v_head_dim = getattr(self.hf_text_config, "v_head_dim", None)
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self.swa_head_dim = getattr(
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if self.v_head_dim is None:
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self.hf_text_config,
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self.v_head_dim = self.head_dim
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"swa_head_dim",
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setattr(self.hf_text_config, "v_head_dim", self.v_head_dim)
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self.head_dim,
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)
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self.swa_head_dim = getattr(self.hf_text_config, "swa_head_dim", None)
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self.swa_v_head_dim = getattr(
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if self.swa_head_dim is None:
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self.hf_text_config,
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self.swa_head_dim = self.head_dim
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"swa_v_head_dim",
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setattr(self.hf_text_config, "swa_head_dim", self.swa_head_dim)
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self.swa_head_dim,
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)
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self.swa_v_head_dim = getattr(self.hf_text_config, "swa_v_head_dim", None)
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if self.swa_v_head_dim is None:
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self.swa_v_head_dim = self.swa_head_dim
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setattr(self.hf_text_config, "swa_v_head_dim", self.swa_v_head_dim)
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# FIXME: temporary special judge for MLA architecture
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# FIXME: temporary special judge for MLA architecture
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if (
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if (
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"DeepseekV2ForCausalLM" in self.hf_config.architectures
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"DeepseekV2ForCausalLM" in self.hf_config.architectures
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@@ -1,71 +0,0 @@
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"""Unit tests for ModelConfig shape normalization."""
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import unittest
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from types import SimpleNamespace
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from sglang.srt.configs.model_config import ModelConfig
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from sglang.test.ci.ci_register import register_cpu_ci
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from sglang.test.test_utils import CustomTestCase
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register_cpu_ci(est_time=1, suite="base-a-test-cpu")
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def _make_text_config(**overrides):
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defaults = dict(
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architectures=["MixtralForCausalLM"],
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model_type="mixtral",
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hidden_size=4096,
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num_attention_heads=32,
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num_hidden_layers=2,
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vocab_size=32000,
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num_key_value_heads=8,
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)
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defaults.update(overrides)
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return SimpleNamespace(**defaults)
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class TestModelConfigShapes(CustomTestCase):
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def _derive_shapes(self, text_config):
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model_config = ModelConfig.__new__(ModelConfig)
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model_config.hf_config = text_config
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model_config.hf_text_config = text_config
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model_config._derive_model_shapes()
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return model_config
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def test_optional_head_dims_default_when_none(self):
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text_config = _make_text_config(
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head_dim=None,
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v_head_dim=None,
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swa_head_dim=None,
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swa_v_head_dim=None,
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)
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model_config = self._derive_shapes(text_config)
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self.assertEqual(model_config.head_dim, 128)
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self.assertEqual(model_config.v_head_dim, 128)
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self.assertEqual(model_config.swa_head_dim, 128)
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self.assertEqual(model_config.swa_v_head_dim, 128)
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self.assertEqual(text_config.head_dim, 128)
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self.assertEqual(text_config.v_head_dim, 128)
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self.assertEqual(text_config.swa_head_dim, 128)
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self.assertEqual(text_config.swa_v_head_dim, 128)
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def test_explicit_head_dims_are_preserved(self):
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text_config = _make_text_config(
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head_dim=128,
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v_head_dim=96,
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swa_head_dim=64,
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swa_v_head_dim=48,
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)
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model_config = self._derive_shapes(text_config)
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self.assertEqual(model_config.head_dim, 128)
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self.assertEqual(model_config.v_head_dim, 96)
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self.assertEqual(model_config.swa_head_dim, 64)
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self.assertEqual(model_config.swa_v_head_dim, 48)
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if __name__ == "__main__":
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unittest.main()
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