diff --git a/test/test_fortran.py b/test/test_fortran.py
index f237ec7934347b949db53b3d4031016b496a8c50..949f3ac115792c3fd048012c67d9d589f90f7b19 100644
--- a/test/test_fortran.py
+++ b/test/test_fortran.py
@@ -373,8 +373,6 @@ def test_matmul(ctx_factory, buffer_inames):
             ctx.devices[0].platform.name == "Portable Computing Language"):
         pytest.skip("crashes on pocl")
 
-    logging.basicConfig(level=logging.INFO)
-
     fortran_src = """
         subroutine dgemm(m,n,ell,a,b,c)
           implicit none
diff --git a/test/test_linalg.py b/test/test_linalg.py
index 6990889baacb137c78169c363af15d8b379688cb..6d56ae01836bae194f1fba91fd96b72a98196853 100644
--- a/test/test_linalg.py
+++ b/test/test_linalg.py
@@ -38,6 +38,9 @@ import loopy as lp
 from loopy.version import LOOPY_USE_LANGUAGE_VERSION_2018_2  # noqa: F401
 
 
+logger = logging.getLogger(__name__)
+
+
 DEBUG_PREAMBLE = r"""
     #pragma OPENCL EXTENSION cl_amd_printf: enable
     #define MY_J (j_outer*64+j_inner_outer*16+j_inner_inner)
@@ -64,7 +67,6 @@ def check_float4(result, ref_result):
 
 
 def test_axpy(ctx_factory):
-    logging.basicConfig(level="INFO")
     ctx = ctx_factory()
 
     n = 3145182
diff --git a/test/test_loopy.py b/test/test_loopy.py
index 3412238c620704bd8d9a77de424afda671a436b6..8952c5adb8fa98fc3ea6a95fabbda0707e52f68b 100644
--- a/test/test_loopy.py
+++ b/test/test_loopy.py
@@ -597,7 +597,6 @@ def test_vector_types(ctx_factory, vec_len):
 
 
 def test_conditional(ctx_factory):
-    # logging.basicConfig(level=logging.DEBUG)
     ctx = ctx_factory()
 
     knl = lp.make_kernel(
diff --git a/test/test_reduction.py b/test/test_reduction.py
index eef8ffa6e7c1603482e4400ebe8d851cbbddac1d..09c09a04b5f4bf9d30c90a28338b6649b6d535d6 100644
--- a/test/test_reduction.py
+++ b/test/test_reduction.py
@@ -281,8 +281,6 @@ def test_global_mc_parallel_reduction(ctx_factory, size):
 
 
 def test_argmax(ctx_factory):
-    logging.basicConfig(level=logging.INFO)
-
     ctx = ctx_factory()
     queue = cl.CommandQueue(ctx)
     rng = np.random.default_rng(seed=42)