Fix lint

apache · Jan 15, 2019 · fbe61e9 · fbe61e9
1 parent c453b3a
commit fbe61e9
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Showing 3 changed files with 8 additions and 15 deletions.
diff --git a/nnvm/src/top/tensor/elemwise.cc b/nnvm/src/top/tensor/elemwise.cc
@@ -777,12 +777,10 @@ NNVM_REGISTER_ELEMWISE_BINARY_SCALAR(__equal_scalar__)
   "FTVMCompute", [](const NodeAttrs& attrs,
                     const Array<Tensor>& inputs,
                     const Array<Tensor>& out_info) {
-
     Tensor out = topi::cast(
       binary_scalar_op(attrs, inputs[0],
                        [](Expr x, Expr y) { return x == y; }),
-      out_info[0]->dtype
-    );
+      out_info[0]->dtype);
     return Array<Tensor>{ out };
 })
 .set_attr<nnvm::FGradient>("FGradient", MakeZeroGradNodes);
@@ -799,8 +797,7 @@ NNVM_REGISTER_ELEMWISE_BINARY_SCALAR(__not_equal_scalar__)
     Tensor out = topi::cast(
       binary_scalar_op(attrs, inputs[0],
                        [](Expr x, Expr y) { return x != y; }),
-      out_info[0]->dtype
-    );
+      out_info[0]->dtype);
     return Array<Tensor>{ out };
 })
 .set_attr<nnvm::FGradient>("FGradient", MakeZeroGradNodes);
@@ -817,8 +814,7 @@ NNVM_REGISTER_ELEMWISE_BINARY_SCALAR(__greater_scalar__)
     Tensor out = topi::cast(
       binary_scalar_op(attrs, inputs[0],
                        [](Expr x, Expr y) { return x > y; }),
-      out_info[0]->dtype
-    );
+      out_info[0]->dtype);
     return Array<Tensor>{ out };
 })
 .set_attr<nnvm::FGradient>("FGradient", MakeZeroGradNodes);
@@ -835,8 +831,7 @@ NNVM_REGISTER_ELEMWISE_BINARY_SCALAR(__greater_equal_scalar__)
     Tensor out = topi::cast(
       binary_scalar_op(attrs, inputs[0],
                        [](Expr x, Expr y) { return x >= y; }),
-      out_info[0]->dtype
-    );
+      out_info[0]->dtype);
     return Array<Tensor>{ out };
 })
 .set_attr<nnvm::FGradient>("FGradient", MakeZeroGradNodes);
@@ -853,8 +848,7 @@ NNVM_REGISTER_ELEMWISE_BINARY_SCALAR(__less_scalar__)
     Tensor out = topi::cast(
       binary_scalar_op(attrs, inputs[0],
                        [](Expr x, Expr y) { return x < y; }),
-      out_info[0]->dtype
-    );
+      out_info[0]->dtype);
     return Array<Tensor>{ out };
 })
 .set_attr<nnvm::FGradient>("FGradient", MakeZeroGradNodes);
@@ -871,8 +865,7 @@ NNVM_REGISTER_ELEMWISE_BINARY_SCALAR(__less_equal_scalar__)
     Tensor out = topi::cast(
       binary_scalar_op(attrs, inputs[0],
                        [](Expr x, Expr y) { return x <= y; }),
-      out_info[0]->dtype
-    );
+      out_info[0]->dtype);
     return Array<Tensor>{ out };
 })
 .set_attr<nnvm::FGradient>("FGradient", MakeZeroGradNodes);

diff --git a/python/tvm/relay/frontend/mxnet.py b/python/tvm/relay/frontend/mxnet.py
@@ -289,7 +289,7 @@ def _mx_box_nms(inputs, attrs):
     if out_format != 'corner':
         raise RuntimeError('out_format %s is not supported.' % out_format)
 
-    ret =_op.vision.get_valid_counts(inputs[0], score_threshold=valid_thresh)
+    ret = _op.vision.get_valid_counts(inputs[0], score_threshold=valid_thresh)
     nms_out = _op.vision.nms(ret[1], ret[0],
                              iou_threshold=overlap_thresh,
                              force_suppress=force_suppress,

diff --git a/topi/include/topi/nn/l2_normalize.h b/topi/include/topi/nn/l2_normalize.h
@@ -33,7 +33,7 @@ inline Tensor l2_normalize(const Tensor& data,
   for (size_t i = 0; i < axis.size(); ++i) {
     int ax = topi::detail::GetConstInt(axis[i]);
     CHECK_LT(ax, data->shape.size()) <<
-             "Axis " << ax << " exceeds input data dim " << 
+             "Axis " << ax << " exceeds input data dim " <<
              data->shape.size();
   }
   auto input_shape = data->shape;