server : disable context shift by default (#15416)

* server : disable context shift by default

ggml-ci

* server : make scopr of test parameters local

Author: ggerganov

common/arg.cpp

@@ -1530,6 +1530,13 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
             params.ctx_shift = false;
         }
     ).set_examples({LLAMA_EXAMPLE_MAIN, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_IMATRIX, LLAMA_EXAMPLE_PERPLEXITY}).set_env("LLAMA_ARG_NO_CONTEXT_SHIFT"));
+    add_opt(common_arg(
+        {"--context-shift"},
+        string_format("enables context shift on infinite text generation (default: %s)", params.ctx_shift ? "disabled" : "enabled"),
+        [](common_params & params) {
+            params.ctx_shift = true;
+        }
+    ).set_examples({LLAMA_EXAMPLE_MAIN, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_IMATRIX, LLAMA_EXAMPLE_PERPLEXITY}).set_env("LLAMA_ARG_CONTEXT_SHIFT"));
     add_opt(common_arg(
         {"--chunks"}, "N",
         string_format("max number of chunks to process (default: %d, -1 = all)", params.n_chunks),

common/common.h

@@ -375,7 +375,7 @@ struct common_params {
     bool cont_batching     = true;  // insert new sequences for decoding on-the-fly
     bool flash_attn        = false; // flash attention
     bool no_perf           = false; // disable performance metrics
-    bool ctx_shift         = true;  // context shift on inifinite text generation
+    bool ctx_shift         = false;  // context shift on inifinite text generation
     bool swa_full          = false; // use full-size SWA cache (https://github.com/ggml-org/llama.cpp/pull/13194#issuecomment-2868343055)
     bool kv_unified        = false; // enable unified KV cache
 

tools/server/tests/unit/test_basic.py

@@ -5,7 +5,7 @@
 server = ServerPreset.tinyllama2()
 
 
-@pytest.fixture(scope="module", autouse=True)
+@pytest.fixture(autouse=True)
 def create_server():
     global server
     server = ServerPreset.tinyllama2()

tools/server/tests/unit/test_completion.py

@@ -7,7 +7,7 @@
 server = ServerPreset.tinyllama2()
 
 
-@pytest.fixture(scope="module", autouse=True)
+@pytest.fixture(autouse=True)
 def create_server():
     global server
     server = ServerPreset.tinyllama2()
@@ -229,7 +229,7 @@ def test_nocache_long_input_prompt():
         "temperature": 1.0,
         "cache_prompt": False,
     })
-    assert res.status_code == 200
+    assert res.status_code == 400
 
 
 def test_completion_with_tokens_input():

tools/server/tests/unit/test_ctx_shift.py

@@ -11,7 +11,7 @@
 Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
 """.strip()
 
-@pytest.fixture(scope="module", autouse=True)
+@pytest.fixture(autouse=True)
 def create_server():
     global server
     server = ServerPreset.tinyllama2()
@@ -25,6 +25,7 @@ def test_ctx_shift_enabled():
     # the prompt is truncated to keep the last 109 tokens
     # 64 tokens are generated thanks to shifting the context when it gets full
     global server
+    server.enable_ctx_shift = True
     server.start()
     res = server.make_request("POST", "/completion", data={
         "n_predict": 64,
@@ -42,7 +43,6 @@ def test_ctx_shift_enabled():
 ])
 def test_ctx_shift_disabled_short_prompt(n_predict: int, n_token_output: int, truncated: bool):
     global server
-    server.disable_ctx_shift = True
     server.n_predict = -1
     server.start()
     res = server.make_request("POST", "/completion", data={
@@ -56,7 +56,6 @@ def test_ctx_shift_disabled_short_prompt(n_predict: int, n_token_output: int, tr
 
 def test_ctx_shift_disabled_long_prompt():
     global server
-    server.disable_ctx_shift = True
     server.start()
     res = server.make_request("POST", "/completion", data={
         "n_predict": 64,
@@ -68,7 +67,6 @@ def test_ctx_shift_disabled_long_prompt():
 
 def test_ctx_shift_disabled_stream():
     global server
-    server.disable_ctx_shift = True
     server.start()
     res = server.make_stream_request("POST", "/v1/completions", data={
         "n_predict": 256,

tools/server/tests/unit/test_embedding.py

@@ -8,7 +8,7 @@
 
 EPSILON = 1e-3
 
-@pytest.fixture(scope="module", autouse=True)
+@pytest.fixture(autouse=True)
 def create_server():
     global server
     server = ServerPreset.bert_bge_small()

tools/server/tests/unit/test_infill.py

@@ -3,7 +3,7 @@
 
 server = ServerPreset.tinyllama_infill()
 
-@pytest.fixture(scope="module", autouse=True)
+@pytest.fixture(autouse=True)
 def create_server():
     global server
     server = ServerPreset.tinyllama_infill()

tools/server/tests/unit/test_lora.py

@@ -5,7 +5,7 @@
 
 LORA_FILE_URL = "https://huggingface.co/ggml-org/stories15M_MOE/resolve/main/moe_shakespeare15M.gguf"
 
-@pytest.fixture(scope="module", autouse=True)
+@pytest.fixture(autouse=True)
 def create_server():
     global server
     server = ServerPreset.stories15m_moe()

tools/server/tests/unit/test_rerank.py

@@ -4,7 +4,7 @@
 server = ServerPreset.jina_reranker_tiny()
 
 
-@pytest.fixture(scope="module", autouse=True)
+@pytest.fixture(autouse=True)
 def create_server():
     global server
     server = ServerPreset.jina_reranker_tiny()

tools/server/tests/unit/test_security.py

@@ -6,7 +6,7 @@
 
 TEST_API_KEY = "sk-this-is-the-secret-key"
 
-@pytest.fixture(scope="module", autouse=True)
+@pytest.fixture(autouse=True)
 def create_server():
     global server
     server = ServerPreset.tinyllama2()