Remove deprecated batch_size parameter (#37007)
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@@ -151,7 +151,7 @@ class CacheTest(unittest.TestCase):
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return random_keys, random_values
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mha_config = LlamaConfig(num_attention_heads=32)
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mha_static_cache = StaticCache(config=mha_config, batch_size=1, max_cache_len=10, device=torch_device)
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mha_static_cache = StaticCache(config=mha_config, max_batch_size=1, max_cache_len=10, device=torch_device)
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cached_keys, cached_values = mha_static_cache.update(
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*_random_kvs(mha_config), 0, cache_kwargs={"cache_position": torch.arange(1).to(torch_device)}
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)
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@@ -159,7 +159,7 @@ class CacheTest(unittest.TestCase):
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self.assertTrue(cached_values.shape == (1, 32, 10, 128))
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gqa_config = LlamaConfig(num_attention_heads=32, num_key_value_heads=4)
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gqa_static_cache = StaticCache(config=gqa_config, batch_size=1, max_cache_len=10, device=torch_device)
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gqa_static_cache = StaticCache(config=gqa_config, max_batch_size=1, max_cache_len=10, device=torch_device)
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cached_keys, cached_values = gqa_static_cache.update(
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*_random_kvs(gqa_config), 0, cache_kwargs={"cache_position": torch.arange(1).to(torch_device)}
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)
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@@ -167,7 +167,7 @@ class CacheTest(unittest.TestCase):
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self.assertTrue(cached_values.shape == (1, 4, 10, 128))
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mqa_config = LlamaConfig(num_attention_heads=32, num_key_value_heads=1)
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mqa_static_cache = StaticCache(config=mqa_config, batch_size=1, max_cache_len=10, device=torch_device)
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mqa_static_cache = StaticCache(config=mqa_config, max_batch_size=1, max_cache_len=10, device=torch_device)
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cached_keys, cached_values = mqa_static_cache.update(
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*_random_kvs(mqa_config), 0, cache_kwargs={"cache_position": torch.arange(1).to(torch_device)}
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)
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