Add cuda target check to dense tensorcore schedule. (#5376)

python/tvm/relay/op/strategy/cuda.py

@@ -373,15 +373,16 @@ def dense_strategy_cuda(attrs, inputs, out_type, target):
                 wrap_topi_schedule(topi.cuda.schedule_dense_large_batch),
                 name="dense_large_batch.cuda",
                 plevel=5)
-        if nvcc.have_tensorcore(tvm.gpu(0).compute_version):
-            if(i % 16 == 0 and b % 16 == 0 and o % 16 == 0) \
-                    or (i % 16 == 0 and b % 8 == 0 and o % 32 == 0) \
-                    or (i % 16 == 0 and b % 32 == 0 and o % 8 == 0):
-                strategy.add_implementation(
-                    wrap_compute_dense(topi.cuda.dense_tensorcore),
-                    wrap_topi_schedule(topi.cuda.schedule_dense_tensorcore),
-                    name="dense_tensorcore.cuda",
-                    plevel=20)
+        if target.target_name == "cuda":
+            if nvcc.have_tensorcore(tvm.gpu(0).compute_version):
+                if(i % 16 == 0 and b % 16 == 0 and o % 16 == 0) \
+                        or (i % 16 == 0 and b % 8 == 0 and o % 32 == 0) \
+                        or (i % 16 == 0 and b % 32 == 0 and o % 8 == 0):
+                    strategy.add_implementation(
+                        wrap_compute_dense(topi.cuda.dense_tensorcore),
+                        wrap_topi_schedule(topi.cuda.schedule_dense_tensorcore),
+                        name="dense_tensorcore.cuda",
+                        plevel=20)
     if target.target_name == "cuda" and "cublas" in target.libs:
         strategy.add_implementation(
             wrap_compute_dense(topi.cuda.dense_cublas),