lint fix

Author: masahi

python/tvm/contrib/cutlass/gen_conv2d.py

@@ -128,7 +128,7 @@ def profile(
         If profile_all is False, return immediately after the first applicable kernel is found.
         If use_multiprocessing is True, compile all profiler executables in parallel.
         """
-        B, H, W, IC = d_shape
+        B, _, _, IC = d_shape
         OC, R, S, _ = w_shape
         _, P, Q, _ = out_shape
 

python/tvm/contrib/cutlass/gen_tensor_op.py

@@ -136,7 +136,6 @@ def get_tile_descriptions(math_inst):
             TileDescription([128, 256, 32], 3, [2, 4, 1], math_inst, min_cc, max_cc),
             TileDescription([256, 64, 32], 4, [4, 1, 1], math_inst, min_cc, max_cc),
             TileDescription([64, 256, 32], 4, [1, 4, 1], math_inst, min_cc, max_cc),
-            TileDescription([128, 128, 32], 2, [2, 2, 1], math_inst, min_cc, max_cc),
             TileDescription([128, 128, 32], 3, [2, 2, 1], math_inst, min_cc, max_cc),
             TileDescription([128, 128, 32], 4, [2, 2, 1], math_inst, min_cc, max_cc),
             TileDescription([128, 128, 32], 5, [2, 2, 1], math_inst, min_cc, max_cc),

python/tvm/relay/op/contrib/cutlass.py

@@ -87,7 +87,7 @@ def check_batch_matmul(call):
     rhs = batch_matmul.args[1].checked_type
     transpose_a = batch_matmul.attrs.transpose_a
     transpose_b = batch_matmul.attrs.transpose_b
-    return check_dtype(lhs, rhs) and transpose_a == False and transpose_b == True
+    return check_dtype(lhs, rhs) and not transpose_a and transpose_b
 
 
 def check_conv2d(call):