Fix lint

Author: echuraev

python/tvm/topi/adreno/conv2d_nchw_winograd.py

@@ -137,4 +137,6 @@ def conv2d_nchw_winograd_comp(
     output: tvm.te.Tensor
         4-D or 5-D with shape NCHW or NCHW4c
     """
-    return conv2d_winograd_comp(cfg, data, kernel, strides, padding, dilation, out_dtype, args, pre_computed, "NCHW")
+    return conv2d_winograd_comp(
+        cfg, data, kernel, strides, padding, dilation, out_dtype, args, pre_computed, "NCHW"
+    )

python/tvm/topi/adreno/conv2d_nhwc_winograd.py

@@ -137,4 +137,6 @@ def conv2d_nhwc_winograd_comp(
     output: tvm.te.Tensor
         4-D or 5-D with shape NCHW or NCHW4c
     """
-    return conv2d_winograd_comp(cfg, data, kernel, strides, padding, dilation, out_dtype, args, pre_computed, "NHWC")
+    return conv2d_winograd_comp(
+        cfg, data, kernel, strides, padding, dilation, out_dtype, args, pre_computed, "NHWC"
+    )

python/tvm/topi/adreno/conv2d_winograd_common.py

@@ -301,9 +301,9 @@ def conv2d_winograd_comp(
         else:
             output = te.compute(
                 (N, CO, H, W, COB),
-                lambda n, co, h, w, cob: inverse[co][n * nH * nW + idxdiv(h, m) * nW + idxdiv(w, m)][
-                    idxmod(h, m)
-                ][idxmod(w, m)][cob].astype(out_dtype),
+                lambda n, co, h, w, cob: inverse[co][
+                    n * nH * nW + idxdiv(h, m) * nW + idxdiv(w, m)
+                ][idxmod(h, m)][idxmod(w, m)][cob].astype(out_dtype),
                 name="output",
                 tag="cast_from_acc" + args["accumulator"][-2:],
             )
@@ -320,9 +320,9 @@ def conv2d_winograd_comp(
         else:
             output = te.compute(
                 (N, H, W, CO, COB),
-                lambda n, h, w, co, cob: inverse[co][n * nH * nW + idxdiv(h, m) * nW + idxdiv(w, m)][
-                    idxmod(h, m)
-                ][idxmod(w, m)][cob].astype(out_dtype),
+                lambda n, h, w, co, cob: inverse[co][
+                    n * nH * nW + idxdiv(h, m) * nW + idxdiv(w, m)
+                ][idxmod(h, m)][idxmod(w, m)][cob].astype(out_dtype),
                 name="output",
                 tag="cast_from_acc" + args["accumulator"][-2:],
             )