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8 changes: 8 additions & 0 deletions examples/models/llama/tests/test_ring_attention.py
Original file line number Diff line number Diff line change
Expand Up @@ -23,6 +23,10 @@
from torch.nn.attention import SDPBackend


def is_fbcode():
return not hasattr(torch.version, "git_version")


class KVCacheType(Enum):
REGULAR = "regular"
QUANTIZED = "quantized"
Expand Down Expand Up @@ -133,6 +137,7 @@ def _run_test_with_kv_cache_type(self, test_func, kv_cache_type: KVCacheType):
print(f"\nRunning {original_test_name} with {kv_cache_type.value} KV cache")
test_func(kv_cache_type)

@unittest.skipIf(not is_fbcode(), "in OSS this test is flaky. Skipping to fix CI")
def test_single_token_processing(
self, kv_cache_type: KVCacheType = KVCacheType.REGULAR
):
Expand Down Expand Up @@ -168,6 +173,7 @@ def test_single_token_processing(
f"Outputs differ at position {pos}",
)

@unittest.skipIf(not is_fbcode(), "in OSS this test is flaky. Skipping to fix CI")
def test_single_token_processing_quantized(self):
"""Test single token processing with QuantizedKVCache."""
self._run_test_with_kv_cache_type(
Expand All @@ -180,6 +186,7 @@ def test_single_token_processing_custom(self):
self.test_single_token_processing, KVCacheType.CUSTOM
)

@unittest.skipIf(not is_fbcode(), "in OSS this test is flaky. Skipping to fix CI")
def test_sliding_window_attention(
self, kv_cache_type: KVCacheType = KVCacheType.REGULAR
):
Expand Down Expand Up @@ -219,6 +226,7 @@ def test_sliding_window_attention(
f"Outputs differ at position {pos}",
)

@unittest.skipIf(not is_fbcode(), "in OSS this test is flaky. Skipping to fix CI")
def test_sliding_window_attention_quantized(self):
"""Test sliding window attention with QuantizedKVCache."""
self._run_test_with_kv_cache_type(
Expand Down
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