mirror of https://github.com/milvus-io/milvus.git
parent
332de07944
commit
51cfc8978a
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@ -896,7 +896,8 @@ class TestGPUResourceConfig:
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if str(connect._cmd("mode")[1]) == "CPU":
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pytest.skip("Only support GPU mode")
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self.reset_configs(connect)
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for i in [-1, "10", "1\n", "1\t"]:
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for i in [-1, "1\n", "1\t"]:
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logging.getLogger().info(i)
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status, reply = connect.set_config("gpu_resource_config", "cache_capacity", i)
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assert not status.OK()
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@ -689,6 +689,8 @@ class TestIndexIP:
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if str(connect._cmd("mode")[1]) == "GPU":
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if request.param["index_type"] == IndexType.IVF_PQ:
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pytest.skip("ivfpq not support in GPU mode")
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if request.param["index_type"] == IndexType.RNSG:
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pytest.skip("rnsg not support in ip")
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return request.param
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@pytest.fixture(
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@ -702,6 +704,8 @@ class TestIndexIP:
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if str(connect._cmd("mode")[1]) == "GPU":
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if request.param["index_type"] == IndexType.IVF_PQ:
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pytest.skip("ivfpq not support in GPU mode")
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if request.param["index_type"] == IndexType.RNSG:
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pytest.skip("rnsg not support in ip")
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return request.param
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"""
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******************************************************************
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@ -719,8 +723,6 @@ class TestIndexIP:
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index_param = get_simple_index["index_param"]
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index_type = get_simple_index["index_type"]
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logging.getLogger().info(get_simple_index)
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if index_type in [IndexType.RNSG]:
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pytest.skip("Skip some RNSG cases")
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status, ids = connect.add_vectors(ip_collection, vectors)
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status = connect.create_index(ip_collection, index_type, index_param)
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assert status.OK()
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@ -734,8 +736,6 @@ class TestIndexIP:
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'''
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index_param = get_simple_index["index_param"]
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index_type = get_simple_index["index_type"]
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if index_type in [IndexType.RNSG]:
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pytest.skip("Skip some RNSG cases")
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logging.getLogger().info(get_simple_index)
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status = connect.create_partition(ip_collection, tag)
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status, ids = connect.add_vectors(ip_collection, vectors, partition_tag=tag)
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@ -765,8 +765,6 @@ class TestIndexIP:
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index_param = get_simple_index["index_param"]
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index_type = get_simple_index["index_type"]
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logging.getLogger().info(get_simple_index)
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if index_type in [IndexType.RNSG]:
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pytest.skip("Skip some RNSG cases")
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status, ids = connect.add_vectors(ip_collection, vectors)
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status = connect.create_index(ip_collection, index_type, index_param)
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logging.getLogger().info(connect.describe_index(ip_collection))
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@ -888,8 +886,6 @@ class TestIndexIP:
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'''
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index_param = get_simple_index["index_param"]
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index_type = get_simple_index["index_type"]
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if index_type in [IndexType.RNSG]:
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pytest.skip("Skip some RNSG cases")
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status = connect.create_index(ip_collection, index_type, index_param)
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status, ids = connect.add_vectors(ip_collection, vectors)
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assert status.OK()
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@ -951,9 +947,7 @@ class TestIndexIP:
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index_param = get_simple_index["index_param"]
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index_type = get_simple_index["index_type"]
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logging.getLogger().info(get_simple_index)
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if index_type in [IndexType.RNSG]:
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pytest.skip()
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# status, ids = connect.add_vectors(ip_collection, vectors[:5000])
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# status, ids = connect.add_vectors(ip_collection, vectors[:5000])
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status = connect.create_index(ip_collection, index_type, index_param)
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status, result = connect.describe_index(ip_collection)
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logging.getLogger().info(result)
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@ -974,8 +968,6 @@ class TestIndexIP:
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'''
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index_param = get_simple_index["index_param"]
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index_type = get_simple_index["index_type"]
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if index_type in [IndexType.RNSG]:
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pytest.skip("Skip some RNSG cases")
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logging.getLogger().info(get_simple_index)
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status = connect.create_partition(ip_collection, tag)
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status, ids = connect.add_vectors(ip_collection, vectors, partition_tag=tag)
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@ -995,8 +987,6 @@ class TestIndexIP:
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new_tag = "new_tag"
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index_param = get_simple_index["index_param"]
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index_type = get_simple_index["index_type"]
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if index_type in [IndexType.RNSG]:
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pytest.skip("Skip some RNSG cases")
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logging.getLogger().info(get_simple_index)
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status = connect.create_partition(ip_collection, tag)
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status = connect.create_partition(ip_collection, new_tag)
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@ -1028,8 +1018,6 @@ class TestIndexIP:
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connect.create_collection(param)
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index_param = get_simple_index["index_param"]
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index_type = get_simple_index["index_type"]
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if index_type in [IndexType.RNSG]:
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pytest.skip("Skip some RNSG cases")
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logging.getLogger().info(get_simple_index)
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status, ids = connect.add_vectors(collection_name=collection_name, records=vectors)
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status = connect.create_index(collection_name, index_type, index_param)
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@ -1089,8 +1077,6 @@ class TestIndexIP:
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index_type = get_simple_index["index_type"]
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status, mode = connect._cmd("mode")
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assert status.OK()
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if index_type in [IndexType.RNSG]:
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pytest.skip()
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# status, ids = connect.add_vectors(ip_collection, vectors)
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status = connect.create_index(ip_collection, index_type, index_param)
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if str(mode) == "GPU" and (index_type == IndexType.IVF_PQ):
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@ -1114,8 +1100,6 @@ class TestIndexIP:
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'''
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index_param = get_simple_index["index_param"]
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index_type = get_simple_index["index_type"]
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if index_type in [IndexType.RNSG]:
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pytest.skip("Skip some RNSG cases")
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status = connect.create_partition(ip_collection, tag)
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status, ids = connect.add_vectors(ip_collection, vectors, partition_tag=tag)
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status = connect.create_index(ip_collection, index_type, index_param)
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@ -1138,8 +1122,6 @@ class TestIndexIP:
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new_tag = "new_tag"
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index_param = get_simple_index["index_param"]
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index_type = get_simple_index["index_type"]
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if index_type in [IndexType.RNSG]:
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pytest.skip("Skip some RNSG cases")
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status = connect.create_partition(ip_collection, tag)
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status = connect.create_partition(ip_collection, new_tag)
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status, ids = connect.add_vectors(ip_collection, vectors)
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@ -1163,8 +1145,6 @@ class TestIndexIP:
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# status, ids = connect.add_vectors(ip_collection, vectors)
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status, mode = connect._cmd("mode")
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assert status.OK()
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if index_type in [IndexType.RNSG]:
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pytest.skip()
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# status, ids = connect.add_vectors(ip_collection, vectors)
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status = connect.create_index(ip_collection, index_type, index_param)
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if str(mode) == "GPU" and (index_type == IndexType.IVF_PQ):
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@ -1217,8 +1197,6 @@ class TestIndexIP:
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'''
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index_param = get_simple_index["index_param"]
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index_type = get_simple_index["index_type"]
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if index_type in [IndexType.RNSG]:
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pytest.skip("Skip some RNSG cases")
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status, ids = connect.add_vectors(ip_collection, vectors)
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for i in range(2):
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status = connect.create_index(ip_collection, index_type, index_param)
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@ -396,6 +396,8 @@ class TestSearchBase:
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index_param = get_simple_index["index_param"]
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index_type = get_simple_index["index_type"]
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logging.getLogger().info(get_simple_index)
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if index_type == IndexType.RNSG:
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pytest.skip("rnsg not support in ip")
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vectors, ids = self.init_data(connect, ip_collection)
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status = connect.create_index(ip_collection, index_type, index_param)
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query_vec = [vectors[0]]
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@ -422,6 +424,8 @@ class TestSearchBase:
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index_param = get_simple_index["index_param"]
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index_type = get_simple_index["index_type"]
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logging.getLogger().info(get_simple_index)
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if index_type == IndexType.RNSG:
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pytest.skip("rnsg not support in ip")
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vectors, ids = self.init_data(connect, ip_collection)
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status = connect.create_index(ip_collection, index_type, index_param)
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query_vec = []
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@ -446,6 +450,8 @@ class TestSearchBase:
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index_param = get_simple_index["index_param"]
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index_type = get_simple_index["index_type"]
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logging.getLogger().info(index_param)
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if index_type == IndexType.RNSG:
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pytest.skip("rnsg not support in ip")
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status = connect.create_partition(ip_collection, tag)
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vectors, ids = self.init_data(connect, ip_collection)
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status = connect.create_index(ip_collection, index_type, index_param)
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@ -473,6 +479,8 @@ class TestSearchBase:
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index_param = get_simple_index["index_param"]
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index_type = get_simple_index["index_type"]
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logging.getLogger().info(index_param)
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if index_type == IndexType.RNSG:
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pytest.skip("rnsg not support in ip")
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status = connect.create_partition(ip_collection, tag)
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vectors, ids = self.init_data(connect, ip_collection, partition_tags=tag)
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status = connect.create_index(ip_collection, index_type, index_param)
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@ -666,9 +674,11 @@ class TestSearchBase:
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'''
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top_k = 2
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nprobe = 1
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vectors, ids = self.init_data(connect, ip_collection, nb=2)
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index_param = get_index["index_param"]
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index_type = get_index["index_type"]
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if index_type == IndexType.RNSG:
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pytest.skip("rnsg not support in ip")
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vectors, ids = self.init_data(connect, ip_collection, nb=2)
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connect.create_index(ip_collection, index_type, index_param)
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logging.getLogger().info(connect.describe_index(ip_collection))
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query_vecs = [[0.50 for i in range(dim)]]
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@ -428,7 +428,7 @@ def gen_invaild_search_params():
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IndexType.IVF_SQ8H,
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IndexType.IVF_PQ,
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IndexType.HNSW,
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# IndexType.RNSG
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IndexType.RNSG
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]
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search_params = []
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@ -443,11 +443,11 @@ def gen_invaild_search_params():
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hnsw_search_param = {"index_type": index_type, "search_param": {"ef": ef}}
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search_params.append(hnsw_search_param)
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search_params.append({"index_type": index_type, "search_param": {"invalid_key": 100}})
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# elif index_type == IndexType.RNSG:
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# for search_length in gen_invalid_params():
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# nsg_search_param = {"index_type": index_type, "search_param": {"search_length": search_length}}
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# search_params.append(nsg_search_param)
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# search_params.append({"index_type": index_type, "search_param": {"invalid_key": 100}})
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elif index_type == IndexType.RNSG:
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for search_length in gen_invalid_params():
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nsg_search_param = {"index_type": index_type, "search_param": {"search_length": search_length}}
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search_params.append(nsg_search_param)
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search_params.append({"index_type": index_type, "search_param": {"invalid_key": 100}})
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return search_params
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@ -466,26 +466,26 @@ def gen_invalid_index():
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for efConstruction in gen_invalid_params():
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index_param = {"index_type": IndexType.HNSW, "index_param": {"M": 16, "efConstruction": efConstruction}}
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index_params.append(index_param)
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# for search_length in gen_invalid_params():
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# index_param = {"index_type": IndexType.RNSG,
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# "index_param": {"search_length": search_length, "out_degree": 40, "candidate_pool_size": 50,
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# "knng": 100}}
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# index_params.append(index_param)
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# for out_degree in gen_invalid_params():
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# index_param = {"index_type": IndexType.RNSG,
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# "index_param": {"search_length": 100, "out_degree": out_degree, "candidate_pool_size": 50,
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# "knng": 100}}
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# index_params.append(index_param)
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# for candidate_pool_size in gen_invalid_params():
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# index_param = {"index_type": IndexType.RNSG, "index_param": {"search_length": 100, "out_degree": 40,
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# "candidate_pool_size": candidate_pool_size,
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# "knng": 100}}
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# index_params.append(index_param)
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for search_length in gen_invalid_params():
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index_param = {"index_type": IndexType.RNSG,
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"index_param": {"search_length": search_length, "out_degree": 40, "candidate_pool_size": 50,
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"knng": 100}}
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index_params.append(index_param)
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for out_degree in gen_invalid_params():
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index_param = {"index_type": IndexType.RNSG,
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"index_param": {"search_length": 100, "out_degree": out_degree, "candidate_pool_size": 50,
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"knng": 100}}
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index_params.append(index_param)
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for candidate_pool_size in gen_invalid_params():
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index_param = {"index_type": IndexType.RNSG, "index_param": {"search_length": 100, "out_degree": 40,
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"candidate_pool_size": candidate_pool_size,
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"knng": 100}}
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index_params.append(index_param)
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index_params.append({"index_type": IndexType.IVF_FLAT, "index_param": {"invalid_key": 1024}})
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index_params.append({"index_type": IndexType.HNSW, "index_param": {"invalid_key": 16, "efConstruction": 100}})
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# index_params.append({"index_type": IndexType.RNSG,
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# "index_param": {"invalid_key": 100, "out_degree": 40, "candidate_pool_size": 300,
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# "knng": 100}})
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index_params.append({"index_type": IndexType.RNSG,
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"index_param": {"invalid_key": 100, "out_degree": 40, "candidate_pool_size": 300,
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"knng": 100}})
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return index_params
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@ -497,7 +497,7 @@ def gen_index():
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IndexType.IVF_SQ8H,
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IndexType.IVF_PQ,
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IndexType.HNSW,
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# IndexType.RNSG
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IndexType.RNSG
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]
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nlists = [1, 1024, 16384]
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@ -527,15 +527,15 @@ def gen_index():
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for M in Ms \
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for efConstruction in efConstructions]
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index_params.extend(hnsw_params)
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# elif index_type == IndexType.RNSG:
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# nsg_params = [{"index_type": index_type,
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# "index_param": {"search_length": search_length, "out_degree": out_degree,
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# "candidate_pool_size": candidate_pool_size, "knng": knng}} \
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# for search_length in search_lengths \
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# for out_degree in out_degrees \
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# for candidate_pool_size in candidate_pool_sizes \
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# for knng in knngs]
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# index_params.extend(nsg_params)
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elif index_type == IndexType.RNSG:
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nsg_params = [{"index_type": index_type,
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"index_param": {"search_length": search_length, "out_degree": out_degree,
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"candidate_pool_size": candidate_pool_size, "knng": knng}} \
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for search_length in search_lengths \
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for out_degree in out_degrees \
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for candidate_pool_size in candidate_pool_sizes \
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for knng in knngs]
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index_params.extend(nsg_params)
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return index_params
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Reference in New Issue