Formatting

src/targets/gpu/add.cpp

@@ -26,8 +26,9 @@ shape miopen_add::compute_shape(const std::vector<shape>& inputs) const
     return inputs.at(0);
 }
 
-argument
-miopen_add::compute(context& ctx, const shape& output_shape, const std::vector<argument>& args) const
+argument miopen_add::compute(context& ctx,
+                             const shape& output_shape,
+                             const std::vector<argument>& args) const
 {
     float alpha = 1, beta = 0;
     auto a_desc = make_tensor(args[0].get_shape());

src/targets/gpu/batchnorm.cpp

@@ -10,12 +10,12 @@ namespace gpu {
 shape miopen_batch_norm_inference::compute_shape(const std::vector<shape>& inputs) const
 {
     check_shapes{inputs, *this}.has(6);
-    return op.compute_shape(
-        {inputs.at(0), inputs.at(1), inputs.at(2), inputs.at(3), inputs.at(4)});
+    return op.compute_shape({inputs.at(0), inputs.at(1), inputs.at(2), inputs.at(3), inputs.at(4)});
 }
 
-argument
-miopen_batch_norm_inference::compute(context& ctx, const shape& output_shape, const std::vector<argument>& args) const
+argument miopen_batch_norm_inference::compute(context& ctx,
+                                              const shape& output_shape,
+                                              const std::vector<argument>& args) const
 {
     auto x_desc  = make_tensor(args[0].get_shape());
     auto y_desc  = make_tensor(output_shape);

src/targets/gpu/contiguous.cpp

@@ -12,7 +12,8 @@ shape miopen_contiguous::compute_shape(const std::vector<shape>& inputs) const
     check_shapes{inputs, *this}.has(2);
     return op.compute_shape({inputs.at(0)});
 }
-argument miopen_contiguous::compute(context&, shape output_shape, const std::vector<argument>& args) const
+argument
+miopen_contiguous::compute(context&, shape output_shape, const std::vector<argument>& args) const
 {
     assert(output_shape == args[1].get_shape());
     assert(output_shape.standard());

src/targets/gpu/include/migraph/gpu/contiguous.hpp

@@ -20,7 +20,6 @@
 namespace migraph {
 namespace gpu {
 
-
 struct miopen_contiguous
 {
     contiguous op;

src/targets/gpu/relu.cpp

@@ -13,8 +13,9 @@ shape miopen_relu::compute_shape(const std::vector<shape>& inputs) const
     return inputs.at(1);
 }
 
-argument
-miopen_relu::compute(context& ctx, const shape& output_shape, const std::vector<argument>& args) const
+argument miopen_relu::compute(context& ctx,
+                              const shape& output_shape,
+                              const std::vector<argument>& args) const
 {
     float alpha = 1, beta = 0;
     auto x_desc = make_tensor(args[0].get_shape());

src/targets/gpu/softmax.cpp

@@ -13,8 +13,9 @@ shape miopen_softmax::compute_shape(const std::vector<shape>& inputs) const
     return op.compute_shape({inputs.at(0)});
 }
 
-argument
-miopen_softmax::compute(context& ctx, const shape& output_shape, const std::vector<argument>& args) const
+argument miopen_softmax::compute(context& ctx,
+                                 const shape& output_shape,
+                                 const std::vector<argument>& args) const
 {
     float alpha = 1, beta = 0;
     auto x_desc = make_tensor(args[0].get_shape());