formatting

src/include/migraphx/op/reduce_op.hpp

@@ -108,7 +108,7 @@ struct reduce_op : op_name<Derived>
 
     /**
      * @brief returns a shape in which the axis or axes named
-     * for reduction by this op are set to size 1.
+     * for reduction by this op are set, to size 1.
      *
      * @param inputs list of input shapes
      * @return shape

src/include/migraphx/shape.hpp

@@ -141,7 +141,7 @@ struct shape
      * Same as the number of indices required to get a data value.
      */
     std::size_t ndim() const;
-    
+
     /*!
      * Return the number of elements in the tensor.
      */

test/onnx/onnx_test.cpp

@@ -4241,13 +4241,14 @@ TEST_CASE(reducel1_test)
     EXPECT(p == prog);
 }
 
-
 TEST_CASE(reducel1_dyn_test)
 {
     migraphx::program p;
     auto* mm = p.get_main_module();
     // a shape with 4 dynamic dimensions
-    auto l0  = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {{3,3,0}, {3, 5, 0}, {4, 6, 5}, {5, 7, 6}}});
+    auto l0 = mm->add_parameter(
+        "x",
+        migraphx::shape{migraphx::shape::float_type, {{3, 3, 0}, {3, 5, 0}, {4, 6, 5}, {5, 7, 6}}});
     auto abs_l0 = mm->add_instruction(migraphx::make_op("abs"), l0);
     auto sum_l0 = mm->add_instruction(migraphx::make_op("reduce_sum", {{"axes", {-2}}}), abs_l0);
     mm->add_instruction(migraphx::make_op("squeeze", {{"axes", {-2}}}), sum_l0);