[BugFix] fix num_cpu_blocks computation (#6438)

* [BugFix] fix num_cpu_blocks computation

* [fix] fix syntax and log

* [fix] pre-commit

* [fix] use getattr

* [fix] ci test
This commit is contained in:
Yonghua Li
2026-02-13 11:05:14 +08:00
committed by GitHub
parent 52edf5e9b3
commit e2332a1112
9 changed files with 162 additions and 63 deletions
+125
View File
@@ -196,6 +196,131 @@ class TestConfig(unittest.TestCase):
]
)
def test_fdconfig_get_cache_bytes(self):
"""Test CacheConfig.get_cache_bytes static method for various dtypes."""
# Test float32/fp32 variants
for dtype in ["float32", "fp32"]:
assert CacheConfig.get_cache_bytes(dtype) == 4
# Test float16/bf16/fp16 variants
for dtype in ["float16", "bf16", "fp16"]:
assert CacheConfig.get_cache_bytes(dtype) == 2
# Test 8-bit types
for dtype in ["uint8", "int8", "float8", "fp8"]:
assert CacheConfig.get_cache_bytes(dtype) == 1
# Test int4
assert CacheConfig.get_cache_bytes("int4") == 0.5
# Test unsupported dtype raises ValueError
with self.assertRaises(ValueError) as ctx:
CacheConfig.get_cache_bytes("bf11")
assert "Unsupported cache dtype" in str(ctx.exception)
def test_fdconfig_num_cpu_blocks(self):
"""Test num_cpu_blocks calculation with swap_space."""
# Create mock model config with required attributes
model_config = Mock()
model_config.num_key_value_heads = 32
model_config.num_attention_heads = 32
model_config.head_dim = 128
model_config.num_hidden_layers = 24
model_config.quantization = None
model_config.quantization_config = None
# Test case 1: swap_space is None -> num_cpu_blocks = 0
cache_config = CacheConfig(
{
"model_cfg": model_config,
"cache_dtype": "bfloat16",
"swap_space": None,
}
)
assert cache_config.num_cpu_blocks == 0
# Test case 2: swap_space = 1GB
# bytes_per_block = head_num * head_dim * byte_size * kv_factor * block_size * num_hidden_layers
# = 32 * 128 * 2 * 2 * 64 * 24 = 25165824 bytes
# num_cpu_blocks = 1 * 1024^3 / 25165824 = 42
cache_config = CacheConfig(
{
"model_cfg": model_config,
"cache_dtype": "bfloat16",
"swap_space": 1,
}
)
expected_blocks = int(1 * 1024**3 / (32 * 128 * 2 * 2 * 64 * 24))
assert cache_config.num_cpu_blocks == expected_blocks
assert cache_config.num_cpu_blocks == 42
# Test case 3: swap_space = 2GB
cache_config = CacheConfig(
{
"model_cfg": model_config,
"cache_dtype": "bfloat16",
"swap_space": 2,
}
)
assert cache_config.num_cpu_blocks == 85
# Test case 4: with fp32 dtype (4 bytes)
cache_config = CacheConfig(
{
"model_cfg": model_config,
"cache_dtype": "float32",
"swap_space": 1,
}
)
expected_blocks = int(1 * 1024**3 / (32 * 128 * 4 * 2 * 64 * 24))
assert cache_config.num_cpu_blocks == expected_blocks
assert cache_config.num_cpu_blocks == 21
# Test case 5: with int8 dtype (1 byte)
cache_config = CacheConfig(
{
"model_cfg": model_config,
"cache_dtype": "int8",
"swap_space": 1,
}
)
expected_blocks = int(1 * 1024**3 / (32 * 128 * 1 * 2 * 64 * 24))
assert cache_config.num_cpu_blocks == expected_blocks
assert cache_config.num_cpu_blocks == 85
# Test case 6: num_cpu_blocks is explicitly set (not affected by swap_space)
cache_config = CacheConfig(
{
"model_cfg": model_config,
"cache_dtype": "bfloat16",
"swap_space": 10,
"num_cpu_blocks": 100,
}
)
assert cache_config.num_cpu_blocks == 100
# Test case 7: with num_key_value_heads (GQA)
model_config_with_gqa = Mock()
model_config_with_gqa.num_key_value_heads = 8 # GQA
model_config_with_gqa.num_attention_heads = 32
model_config_with_gqa.head_dim = 128
model_config_with_gqa.num_hidden_layers = 24
model_config_with_gqa.quantization = None
model_config_with_gqa.quantization_config = None
cache_config = CacheConfig(
{
"model_cfg": model_config_with_gqa,
"cache_dtype": "bfloat16",
"swap_space": 1,
}
)
# bytes_per_block = 8 * 128 * 2 * 2 * 64 * 24 = 6291456 bytes
# num_cpu_blocks = 1 * 1024^3 / 6291456 = 170
expected_blocks = int(1 * 1024**3 / (8 * 128 * 2 * 2 * 64 * 24))
assert cache_config.num_cpu_blocks == expected_blocks
assert cache_config.num_cpu_blocks == 170
if __name__ == "__main__":
unittest.main()