diff --git a/python/bench/bench_blocksparse.py b/python/bench/bench_blocksparse.py
index d678f49f8..5deb06edb 100644
--- a/python/bench/bench_blocksparse.py
+++ b/python/bench/bench_blocksparse.py
@@ -40,7 +40,7 @@ def bench_matmul(M, N, K, block, layout_mode, op_mode, AT, BT, dtype, provider,
     # create op
     tflops = lambda ms: num_flops / ms * 1e3
     if provider == 'triton':
-        op = triton.ops.blocksparse.matmul(layout, block, op_mode, trans_a=AT, trans_b=BT)
+        op = triton.ops.blocksparse.matmul(layout, block, op_mode, device="cuda", trans_a=AT, trans_b=BT)
         # inputs
         a = triton.testing.sparsify_tensor(a, layout, block) if op_mode == 'dsd' else a
         b = triton.testing.sparsify_tensor(b, layout, block) if op_mode == 'dds' else b
@@ -83,7 +83,7 @@ def bench_softmax(M, N, block, layout_mode, dtype, provider, warmup=10, rep=50):
     a = torch.randn((Z, H, M, N), dtype=dtype, device='cuda')
     if provider == 'triton':
         a = triton.testing.sparsify_tensor(a, layout, block)
-        op = triton.ops.blocksparse.softmax(layout, block)
+        op = triton.ops.blocksparse.softmax(layout, block, device="cuda")
         gbps = lambda ms: (2 * a.numel() * a.element_size() * 1e-9) / (ms * 1e-3)
         mean_ms, min_ms, max_ms = triton.testing.do_bench(lambda: op(a), warmup=warmup, rep=rep)
         return gbps(mean_ms), gbps(min_ms), gbps(max_ms)
diff --git a/python/test/unit/language/test_core.py b/python/test/unit/language/test_core.py
index 77a870eea..22c6f99f4 100644
--- a/python/test/unit/language/test_core.py
+++ b/python/test/unit/language/test_core.py
@@ -644,7 +644,7 @@ def test_f16_to_f8_rounding():
     )
     assert torch.all(
         torch.logical_not(mismatch)
-    ), f"{f16_input[mismatch]=} {f16_output[mismatch]=} {abs_error[mismatch]=} {min_error[mismatch]=}"
+    ), f"f16_input[mismatch]={f16_input[mismatch]} f16_output[mismatch]={f16_output[mismatch]} abs_error[mismatch]={abs_error[mismatch]} min_error[mismatch]={min_error[mismatch]}"
 
 
 # ---------------