[https://nvbugs/5515753][ci] Add NCCL_DEBUG=INFO flag to collect more info with CI failure. (NVIDIA#8440)

Signed-off-by: Simeng Liu <simengl@nvidia.com>
Signed-off-by: Mike Iovine <6158008+mikeiovine@users.noreply.github.com>

Author: SimengLiu-nv

jenkins/L0_Test.groovy

@@ -2166,6 +2166,19 @@ def runLLMTestlistOnPlatformImpl(pipeline, platform, testList, config=VANILLA_CO
         def noIsolateTests = false
         def rerunFailed = false
 
+        echoNodeAndGpuInfo(pipeline, stageName)
+        sh 'if [ "$(id -u)" -eq 0 ]; then dmesg -C || true; fi'
+
+        def extraInternalEnv = ""
+        def pytestTestTimeout = "3600"
+
+        // TRT uses half of the host logic cores for engine building which is bad for multi-GPU machines.
+        extraInternalEnv = "__LUNOWUD=\"-thread_pool_size=${TESTER_CORES}\""
+        // CPP test execution is timing out easily, so we always override its internal timeout to the same value as pytest
+        extraInternalEnv += " CPP_TEST_TIMEOUT_OVERRIDDEN=${pytestTestTimeout}"
+        // Enable NCCL debug information for multi-GPU tests
+        extraInternalEnv += " NCCL_DEBUG=INFO"
+
         def testDBList = renderTestDB(testList, llmSrc, stageName)
 
         // Process shard test list and create separate files for regular and isolate tests

tests/unittest/_torch/multi_gpu/test_mnnvl_allreduce.py

@@ -194,7 +194,6 @@ def func(input, residual, norm_weight, eps, enable_fusion):
 )
 def test_row_linear_residual_norm_fusion(seq_len, hidden_size, dtype, strategy,
                                          fusion):
-
     if strategy == AllReduceStrategy.NCCL_SYMMETRIC and 2048 in seq_len:
         pytest.skip("https://nvbugspro.nvidia.com/bug/5573856")
 

tests/unittest/_torch/multi_gpu_modeling/test_deepseek.py

@@ -33,9 +33,6 @@ def test_deepseek_streaming(model_name, backend, quant, tp_size):
     is_fp8 = quant == "fp8"
     is_fp4 = quant == "fp4"
 
-    if tp_size == 4:
-        pytest.skip(f"https://nvbugs/5515753")
-
     if torch.cuda.device_count() < tp_size:
         pytest.skip(f"Not enough GPUs available, need {tp_size} "
                     f"but only have {torch.cuda.device_count()}")

tests/unittest/_torch/thop/parallel/test_moe.py

@@ -1056,6 +1056,7 @@ class TestMoeFp4:
     )
     def test_autotune(self, num_tokens, hidden_size, intermediate_size,
                       routing_info):
+        pytest.skip("https://nvbugs/5575841")
 
         self.run_moe_fp4_test(num_tokens,
                               hidden_size,
@@ -1138,6 +1139,7 @@ def test_autotune_fp8_fp4(self, num_tokens, hidden_size, intermediate_size,
                              ids=["use_score_as_input", "use_topk_as_input"])
     def test_no_autotune(self, num_tokens, hidden_size, intermediate_size,
                          routing_info, use_topk_as_input):
+        pytest.skip("https://nvbugs/5575841")
 
         self.run_moe_fp4_test(num_tokens,
                               hidden_size,
@@ -1204,6 +1206,9 @@ def run_moe_fp4_test(self, num_tokens: int, hidden_size: int,
         if padding >= 256:
             pytest.skip("Routing kernel requires that padding be less than 256")
 
+        if intermediate_size == 384:
+            pytest.skip("https://nvbugs/5434352")
+
         assert top_k <= num_experts
         assert top_k <= 10
         assert num_experts % 4 == 0